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2020 – today
- 2024
- [j41]Bashima Islam
, Nancy L. McElwain, Jialu Li
, Maria I. Davila, Yannan Hu, Kexin Hu, Jordan M. Bodway, Ashutosh Dhekne, Romit Roy Choudhury, Mark Hasegawa-Johnson
:
Preliminary Technical Validation of LittleBeats™: A Multimodal Sensing Platform to Capture Cardiac Physiology, Motion, and Vocalizations. Sensors 24(3): 901 (2024) - [c220]Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, Daejin Jo, Kyoung-Woon On, Mark Hasegawa-Johnson, Sungwoong Kim, Chang Dong Yoo:
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback. ACL (Findings) 2024: 14969-14981 - [c219]Mohammad Nur Hossain Khan, Jialu Li, Nancy L. McElwain, Mark Hasegawa-Johnson, Bashima Islam:
Sound Tagging in Infant-centric Home Soundscapes. CHASE 2024: 142-146 - [c218]Maliha Jahan, Helin Wang, Thomas Thebaud, Yinglun Sun, Giang Ha Le, Zsuzsanna Fagyal, Odette Scharenborg, Mark Hasegawa-Johnson, Laureano Moro-Velázquez, Najim Dehak:
Finding Spoken Identifications: Using GPT-4 Annotation for an Efficient and Fast Dataset Creation Pipeline. LREC/COLING 2024: 7296-7306 - [c217]Abhayjeet Singh, Amala Nagireddi, Deekshitha G, Jesuraja Bandekar, Roopa R., Sandhya Badiger, Sathvik Udupa, Prasanta Kumar Ghosh, Hema A. Murthy, Pranaw Kumar, Keiichi Tokuda, Mark Hasegawa-Johnson, Philipp Olbrich:
LIMMITS'24: Multi-Speaker, Multi-Lingual Indic TTS with Voice Cloning. ICASSP Workshops 2024: 61-62 - [c216]Jialu Li, Mark Hasegawa-Johnson, Nancy L. McElwain:
Analysis of Self-Supervised Speech Models on Children's Speech and Infant Vocalizations. ICASSP Workshops 2024: 550-554 - [c215]Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo:
G2PU: Grapheme-To-Phoneme Transducer with Speech Units. ICASSP 2024: 10061-10065 - [c214]Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo:
Unsupervised Speech Recognition with N-skipgram and Positional Unigram Matching. ICASSP 2024: 10936-10940 - [c213]SooHwan Eom, Eunseop Yoon, Hee Suk Yoon, Chanwoo Kim, Mark Hasegawa-Johnson, Chang D. Yoo:
AdaMER-CTC: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition. ICASSP 2024: 12707-12711 - [c212]Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark A. Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo:
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion. ICLR 2024 - [c211]Heting Gao, Kaizhi Qian, Junrui Ni, Chuang Gan, Mark A. Hasegawa-Johnson, Shiyu Chang, Yang Zhang:
Speech Self-Supervised Learning Using Diffusion Model Synthetic Data. ICML 2024 - [i58]Jialu Li, Mark Hasegawa-Johnson, Nancy L. McElwain:
Analysis of Self-Supervised Speech Models on Children's Speech and Infant Vocalizations. CoRR abs/2402.06888 (2024) - [i57]Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo:
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion. CoRR abs/2403.14119 (2024) - [i56]Junrui Ni, Liming Wang, Yang Zhang, Kaizhi Qian, Heting Gao, Mark Hasegawa-Johnson, Chang D. Yoo:
Towards Unsupervised Speech Recognition Without Pronunciation Models. CoRR abs/2406.08380 (2024) - [i55]Mohammad Nur Hossain Khan, Jialu Li, Nancy L. McElwain, Mark Hasegawa-Johnson, Bashima Islam:
Sound Tagging in Infant-centric Home Soundscapes. CoRR abs/2406.17190 (2024) - [i54]Eunseop Yoon, Hee Suk Yoon, SooHwan Eom, Gunsoo Han, Daniel Wontae Nam, Daejin Jo, Kyoung-Woon On, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo:
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback. CoRR abs/2407.16574 (2024) - 2023
- [j40]Oshane O. Thomas
, Hongyu Shen
, Ryan L. Raaum
, William E. H. Harcourt-Smith, John D. Polk
, Mark Hasegawa-Johnson:
Automated morphological phenotyping using learned shape descriptors and functional maps: A novel approach to geometric morphometrics. PLoS Comput. Biol. 19(1) (2023) - [c210]Liming Wang, Mark Hasegawa-Johnson, Chang Dong Yoo:
A Theory of Unsupervised Speech Recognition. ACL (1) 2023: 1192-1215 - [c209]Liming Wang, Junrui Ni, Heting Gao, Jialu Li, Kai Chieh Chang, Xulin Fan, Junkai Wu, Mark Hasegawa-Johnson, Chang Dong Yoo:
Listen, Decipher and Sign: Toward Unsupervised Speech-to-Sign Language Recognition. ACL (Findings) 2023: 6785-6800 - [c208]Eunseop Yoon, Hee Suk Yoon, John B. Harvill, Mark Hasegawa-Johnson, Chang Dong Yoo:
INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition. ACL (Findings) 2023: 9893-9902 - [c207]Kai Chieh Chang, Mark Hasegawa-Johnson, Nancy L. McElwain, Bashima Islam:
Classification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data. APSIPA ASC 2023: 2370-2377 - [c206]Abhayjeet Singh, Amala Nagireddi, Deekshitha G, Jesuraja Bandekar, Roopa R., Sandhya Badiger, Sathvik Udupa, Prasanta Kumar Ghosh, Hema A. Murthy, Heiga Zen, Pranaw Kumar, Kamal Kant, Amol Bole, Bira Chandra Singh, Keiichi Tokuda, Mark Hasegawa-Johnson, Philipp Olbrich:
Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech. ICASSP 2023: 1-2 - [c205]Zhongweiyang Xu, Xulin Fan, Mark Hasegawa-Johnson:
Dual-Path Cross-Modal Attention for Better Audio-Visual Speech Extraction. ICASSP 2023: 1-5 - [c204]Jialu Li, Mark Hasegawa-Johnson, Nancy L. McElwain:
Towards Robust Family-Infant Audio Analysis Based on Unsupervised Pretraining of Wav2vec 2.0 on Large-Scale Unlabeled Family Audio. INTERSPEECH 2023: 1035-1039 - [c203]Eunseop Yoon, Hee Suk Yoon
, Dhananjaya Gowda, SooHwan Eom, Daehyeok Kim, John B. Harvill, Heting Gao, Mark Hasegawa-Johnson, Chanwoo Kim, Chang D. Yoo:
Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction. INTERSPEECH 2023: 2028-2032 - [c202]Wonjune Kang, Mark Hasegawa-Johnson, Deb Roy:
End-to-End Zero-Shot Voice Conversion with Location-Variable Convolutions. INTERSPEECH 2023: 2303-2307 - [c201]Wanyue Zhai, Mark Hasegawa-Johnson:
Wav2ToBI: a new approach to automatic ToBI transcription. INTERSPEECH 2023: 2748-2752 - [c200]John B. Harvill, Mark Hasegawa-Johnson, Hee Suk Yoon, Chang D. Yoo, Eunseop Yoon:
One-Shot Exemplification Modeling via Latent Sense Representations. RepL4NLP@ACL 2023: 303-314 - [i53]Jialu Li, Mark Hasegawa-Johnson, Nancy L. McElwain:
Towards Robust Family-Infant Audio Analysis Based on Unsupervised Pretraining of Wav2vec 2.0 on Large-Scale Unlabeled Family Audio. CoRR abs/2305.12530 (2023) - [i52]Eunseop Yoon, Hee Suk Yoon, John B. Harvill, Mark Hasegawa-Johnson, Chang D. Yoo:
INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition. CoRR abs/2305.16371 (2023) - [i51]Liming Wang, Mark A. Hasegawa-Johnson, Chang D. Yoo:
A Theory of Unsupervised Speech Recognition. CoRR abs/2306.07926 (2023) - [i50]Kai Chieh Chang, Mark Hasegawa-Johnson, Nancy L. McElwain, Bashima Islam:
Classification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data. CoRR abs/2306.15808 (2023) - [i49]Eunseop Yoon, Hee Suk Yoon
, Dhananjaya Gowda, SooHwan Eom, Daehyeok Kim, John B. Harvill, Heting Gao, Mark Hasegawa-Johnson, Chanwoo Kim, Chang D. Yoo:
Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction. CoRR abs/2308.08442 (2023) - [i48]Jialu Li, Mark Hasegawa-Johnson, Karrie Karahalios:
Enhancing Child Vocalization Classification in Multi-Channel Child-Adult Conversations Through Wav2vec2 Children ASR Features. CoRR abs/2309.07287 (2023) - [i47]Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo:
Unsupervised Speech Recognition with N-Skipgram and Positional Unigram Matching. CoRR abs/2310.02382 (2023) - [i46]Zhonghao Wang, Wei Wei, Yang Zhao, Zhisheng Xiao, Mark Hasegawa-Johnson, Humphrey Shi
, Tingbo Hou:
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models. CoRR abs/2312.00079 (2023) - 2022
- [j39]Piotr Zelasko
, Siyuan Feng
, Laureano Moro-Velázquez
, Ali Abavisani
, Saurabhchand Bhati, Odette Scharenborg
, Mark Hasegawa-Johnson, Najim Dehak
:
Discovering phonetic inventories with crosslingual automatic speech recognition. Comput. Speech Lang. 74: 101358 (2022) - [j38]Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson:
Domain Generalization for Language-Independent Automatic Speech Recognition. Frontiers Artif. Intell. 5: 806274 (2022) - [j37]Heting Gao
, Xiaoxuan Wang, Sunghun Kang, Rusty Mina
, Dias Issa
, John B. Harvill, Leda Sari
, Mark Hasegawa-Johnson
, Chang D. Yoo
:
Seamless equal accuracy ratio for inclusive CTC speech recognition. Speech Commun. 136: 76-83 (2022) - [j36]Jialu Li
, Mark Hasegawa-Johnson
:
Autosegmental Neural Nets 2.0: An Extensive Study of Training Synchronous and Asynchronous Phones and Tones for Under-Resourced Tonal Languages. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1918-1926 (2022) - [c199]Junghyun Lee
, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, Chang D. Yoo:
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold. AAAI 2022: 7363-7371 - [c198]Liming Wang, Siyuan Feng, Mark Hasegawa-Johnson, Chang Dong Yoo:
Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech Recognition. ACL (1) 2022: 8027-8047 - [c197]Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson, Alexander G. Schwing:
Equivariance Discovery by Learned Parameter-Sharing. AISTATS 2022: 1527-1545 - [c196]John B. Harvill, Yash R. Wani, Mustafa Alam, Narendra Ahuja, Mark Hasegawa-Johnson, David Chestek, David G. Beiser
:
Estimation of Respiratory Rate from Breathing Audio. EMBC 2022: 4599-4603 - [c195]Hee Suk Yoon, Eunseop Yoon, John B. Harvill, Sunjae Yoon, Mark Hasegawa-Johnson, Chang Dong Yoo:
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation. EMNLP (Findings) 2022: 1493-1502 - [c194]John B. Harvill, Yash R. Wani, Moitreya Chatterjee, Mustafa Alam, David G. Beiser
, David Chestek, Mark Hasegawa-Johnson, Narendra Ahuja:
Detection of Covid-19 from Joint Time and Frequency Analysis of Speech, Breathing and Cough Audio. ICASSP 2022: 3683-3687 - [c193]Chak Ho Chan, Kaizhi Qian, Yang Zhang, Mark Hasegawa-Johnson:
SpeechSplit2.0: Unsupervised Speech Disentanglement for Voice Conversion without Tuning Autoencoder Bottlenecks. ICASSP 2022: 6332-6336 - [c192]Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo:
Forget-free Continual Learning with Winning Subnetworks. ICML 2022: 10734-10750 - [c191]Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang:
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers. ICML 2022: 18003-18017 - [c190]Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson:
Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition. INTERSPEECH 2022: 461-465 - [c189]Mahir Morshed, Mark Hasegawa-Johnson:
Cross-lingual articulatory feature information transfer for speech recognition using recurrent progressive neural networks. INTERSPEECH 2022: 2298-2302 - [c188]Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson:
WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models. INTERSPEECH 2022: 2738-2742 - [c187]John B. Harvill, Mark Hasegawa-Johnson, Chang D. Yoo:
Frame-Level Stutter Detection. INTERSPEECH 2022: 2843-2847 - [c186]John B. Harvill, Roxana Girju, Mark Hasegawa-Johnson:
Syn2Vec: Synset Colexification Graphs for Lexical Semantic Similarity. NAACL-HLT 2022: 5259-5270 - [i45]Piotr Zelasko, Siyuan Feng, Laureano Moro-Velázquez, Ali Abavisani, Saurabhchand Bhati, Odette Scharenborg, Mark Hasegawa-Johnson, Najim Dehak:
Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition. CoRR abs/2201.11207 (2022) - [i44]Chak Ho Chan, Kaizhi Qian, Yang Zhang, Mark Hasegawa-Johnson:
SpeechSplit 2.0: Unsupervised speech disentanglement for voice conversion Without tuning autoencoder Bottlenecks. CoRR abs/2203.14156 (2022) - [i43]Jialu Li, Mark Hasegawa-Johnson, Nancy L. McElwain:
Visualizations of Complex Sequences of Family-Infant Vocalizations Using Bag-of-Audio-Words Approach Based on Wav2vec 2.0 Features. CoRR abs/2203.15183 (2022) - [i42]Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson:
Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition. CoRR abs/2203.15796 (2022) - [i41]Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson:
WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language Models. CoRR abs/2203.15863 (2022) - [i40]Raymond A. Yeh, Yuan-Ting Hu, Mark Hasegawa-Johnson, Alexander G. Schwing:
Equivariance Discovery by Learned Parameter-Sharing. CoRR abs/2204.03640 (2022) - [i39]Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang:
Improving Self-Supervised Speech Representations by Disentangling Speakers. CoRR abs/2204.09224 (2022) - [i38]Zhongweiyang Xu, Xulin Fan, Mark Hasegawa-Johnson:
Dual-path Attention is All You Need for Audio-Visual Speech Extraction. CoRR abs/2207.04213 (2022) - [i37]Hee Suk Yoon
, Eunseop Yoon, John B. Harvill, Sunjae Yoon, Mark Hasegawa-Johnson, Chang D. Yoo:
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation. CoRR abs/2212.07072 (2022) - 2021
- [j35]Jialu Li
, Mark Hasegawa-Johnson, Nancy L. McElwain:
Analysis of acoustic and voice quality features for the classification of infant and mother vocalizations. Speech Commun. 133: 41-61 (2021) - [j34]Leda Sari
, Mark Hasegawa-Johnson
, Samuel Thomas
:
Auxiliary Networks for Joint Speaker Adaptation and Speaker Change Detection. IEEE ACM Trans. Audio Speech Lang. Process. 29: 324-333 (2021) - [j33]Xinsheng Wang
, Justin van der Hout, Jihua Zhu
, Mark Hasegawa-Johnson
, Odette Scharenborg
:
Synthesizing Spoken Descriptions of Images. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3242-3254 (2021) - [j32]Leda Sari
, Mark Hasegawa-Johnson
, Chang D. Yoo
:
Counterfactually Fair Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3515-3525 (2021) - [c185]Liming Wang, Mark Hasegawa-Johnson:
A Translation Framework for Visually Grounded Spoken Unit Discovery. ACSCC 2021: 1419-1425 - [c184]Junzhe Zhu, Raymond A. Yeh
, Mark Hasegawa-Johnson:
Multi-Decoder Dprnn: Source Separation for Variable Number of Speakers. ICASSP 2021: 3420-3424 - [c183]Hui Shi, Yang Zhang, Hao Wu, Shiyu Chang, Kaizhi Qian, Mark Hasegawa-Johnson, Jishen Zhao:
Continuous Cnn For Nonuniform Time Series. ICASSP 2021: 3550-3554 - [c182]Xinsheng Wang, Siyuan Feng
, Jihua Zhu, Mark Hasegawa-Johnson, Odette Scharenborg
:
Show and Speak: Directly Synthesize Spoken Description of Images. ICASSP 2021: 4190-4194 - [c181]John B. Harvill, Dias Issa
, Mark Hasegawa-Johnson, Chang Dong Yoo:
Synthesis of New Words for Improved Dysarthric Speech Recognition on an Expanded Vocabulary. ICASSP 2021: 6428-6432 - [c180]Junzhe Zhu, Mark Hasegawa-Johnson, Nancy L. McElwain:
A Comparison Study on Infant-Parent Voice Diarization. ICASSP 2021: 7178-7182 - [c179]Siyuan Feng
, Piotr Zelasko, Laureano Moro-Velázquez, Ali Abavisani, Mark Hasegawa-Johnson, Odette Scharenborg
, Najim Dehak
:
How Phonotactics Affect Multilingual and Zero-Shot ASR Performance. ICASSP 2021: 7238-7242 - [c178]Liming Wang, Xinsheng Wang, Mark Hasegawa-Johnson, Odette Scharenborg
, Najim Dehak
:
Align or attend? Toward More Efficient and Accurate Spoken Word Discovery Using Speech-to-Image Retrieval. ICASSP 2021: 7603-7607 - [c177]Zhonghao Wang, Kai Wang, Mo Yu, Jinjun Xiong
, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi
:
Interpretable Visual Reasoning via Induced Symbolic Space. ICCV 2021: 1858-1867 - [c176]Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson:
Global Prosody Style Transfer Without Text Transcriptions. ICML 2021: 8650-8660 - [c175]John B. Harvill, Yash R. Wani, Mark Hasegawa-Johnson, Narendra Ahuja, David G. Beiser
, David Chestek:
Classification of COVID-19 from Cough Using Autoregressive Predictive Coding Pretraining and Spectral Data Augmentation. Interspeech 2021: 926-930 - [c174]Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson:
Zero-Shot Cross-Lingual Phonetic Recognition with External Language Embedding. Interspeech 2021: 1304-1308 - [c173]Kiran Ramnath
, Leda Sari, Mark Hasegawa-Johnson, Chang D. Yoo:
Worldly Wise (WoW) - Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering. NAACL-HLT 2021: 1908-1919 - [i36]Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson:
Global Rhythm Style Transfer Without Text Transcriptions. CoRR abs/2106.08519 (2021) - [i35]Junghyun Lee, Gwangsu Kim, Matt Olfat, Mark Hasegawa-Johnson, Chang D. Yoo:
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold. CoRR abs/2109.11196 (2021) - 2020
- [j31]Odette Scharenborg
, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx
, Rachid Riad, Liming Wang
, Emmanuel Dupoux, Laurent Besacier, Alan W. Black
, Mark Hasegawa-Johnson
, Florian Metze
, Graham Neubig, Sebastian Stüker, Pierre Godard, Markus Müller:
Speech Technology for Unwritten Languages. IEEE ACM Trans. Audio Speech Lang. Process. 28: 964-975 (2020) - [j30]Liming Wang
, Mark Hasegawa-Johnson
:
Multimodal Word Discovery and Retrieval With Spoken Descriptions and Visual Concepts. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1560-1573 (2020) - [c172]Tarek Sakakini, Jong Yoon Lee, Aditya Duri, Renato Ferreira Leitão Azevedo, Victor Sadauskas, Kuangxiao Gu, Suma Bhat
, Daniel G. Morrow, James Graumlich, Saqib Walayat, Mark Hasegawa-Johnson, Thomas S. Huang, Ann Willemsen-Dunlap, Donald Halpin:
Context-Aware Automatic Text Simplification of Health Materials in Low-Resource Domains. LOUHI@EMNLP 2020: 115-126 - [c171]Kaizhi Qian, Zeyu Jin, Mark Hasegawa-Johnson, Gautham J. Mysore:
F0-Consistent Many-To-Many Non-Parallel Voice Conversion Via Conditional Autoencoder. ICASSP 2020: 6284-6288 - [c170]Leda Sari, Samuel Thomas, Mark Hasegawa-Johnson:
Training Spoken Language Understanding Systems with Non-Parallel Speech and Text. ICASSP 2020: 8109-8113 - [c169]Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson, David D. Cox:
Unsupervised Speech Decomposition via Triple Information Bottleneck. ICML 2020: 7836-7846 - [c168]Jialu Li, Mark Hasegawa-Johnson:
Autosegmental Neural Nets: Should Phones and Tones be Synchronous or Asynchronous? INTERSPEECH 2020: 1027-1031 - [c167]Ali Abavisani, Mark Hasegawa-Johnson:
Automatic Estimation of Intelligibility Measure for Consonants in Speech. INTERSPEECH 2020: 1161-1165 - [c166]Liming Wang, Mark Hasegawa-Johnson:
A DNN-HMM-DNN Hybrid Model for Discovering Word-Like Units from Spoken Captions and Image Regions. INTERSPEECH 2020: 1456-1460 - [c165]Leda Sari, Mark Hasegawa-Johnson:
Deep F-Measure Maximization for End-to-End Speech Understanding. INTERSPEECH 2020: 1580-1584 - [c164]Justin van der Hout, Zoltán D'Haese, Mark Hasegawa-Johnson, Odette Scharenborg
:
Evaluating Automatically Generated Phoneme Captions for Images. INTERSPEECH 2020: 2317-2321 - [c163]Junzhe Zhu, Mark Hasegawa-Johnson, Leda Sari:
Identify Speakers in Cocktail Parties with End-to-End Attention. INTERSPEECH 2020: 3092-3096 - [c162]Piotr Zelasko, Laureano Moro-Velázquez, Mark Hasegawa-Johnson, Odette Scharenborg
, Najim Dehak
:
That Sounds Familiar: An Analysis of Phonetic Representations Transfer Across Languages. INTERSPEECH 2020: 3705-3709 - [c161]Mark Hasegawa-Johnson
, Leanne Rolston, Camille Goudeseune
, Gina-Anne Levow, Katrin Kirchhoff
:
Grapheme-to-Phoneme Transduction for Cross-Language ASR. SLSP 2020: 3-19 - [i34]Kaizhi Qian, Zeyu Jin, Mark Hasegawa-Johnson, Gautham J. Mysore:
F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder. CoRR abs/2004.07370 (2020) - [i33]Kaizhi Qian, Yang Zhang, Shiyu Chang, David D. Cox, Mark Hasegawa-Johnson:
Unsupervised Speech Decomposition via Triple Information Bottleneck. CoRR abs/2004.11284 (2020) - [i32]Ali Abavisani, Mark Hasegawa-Johnson:
Automatic Estimation of Inteligibility Measure for Consonants in Speech. CoRR abs/2005.06065 (2020) - [i31]Piotr Zelasko
, Laureano Moro-Velázquez, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak:
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages. CoRR abs/2005.08118 (2020) - [i30]Junzhe Zhu, Mark Hasegawa-Johnson, Leda Sari:
Identify Speakers in Cocktail Parties with End-to-End Attention. CoRR abs/2005.11408 (2020) - [i29]Jialu Li, Mark Hasegawa-Johnson:
Autosegmental Neural Nets: Should Phones and Tones be Synchronous or Asynchronous? CoRR abs/2007.14351 (2020) - [i28]Justin van der Hout, Zoltán D'Haese, Mark Hasegawa-Johnson, Odette Scharenborg:
Evaluating Automatically Generated Phoneme Captions for Images. CoRR abs/2007.15916 (2020) - [i27]Leda Sari, Mark Hasegawa-Johnson:
Deep F-measure Maximization for End-to-End Speech Understanding. CoRR abs/2008.03425 (2020) - [i26]Wenda Chen, Jonathan Huang, Mark Hasegawa-Johnson:
Utterance-level Intent Recognition from Keywords. CoRR abs/2009.08064 (2020) - [i25]Siyuan Feng
, Piotr Zelasko, Laureano Moro-Velázquez, Ali Abavisani, Mark Hasegawa-Johnson, Odette Scharenborg, Najim Dehak:
How Phonotactics Affect Multilingual and Zero-shot ASR Performance. CoRR abs/2010.12104 (2020) - [i24]Xinsheng Wang, Siyuan Feng, Jihua Zhu, Mark Hasegawa-Johnson, Odette Scharenborg:
Show and Speak: Directly Synthesize Spoken Description of Images. CoRR abs/2010.12267 (2020) - [i23]Junzhe Zhu, Mark Hasegawa-Johnson, Nancy McElwain:
A Comparison Study on Infant-Parent Voice Diarization. CoRR abs/2011.02698 (2020) - [i22]Zhonghao Wang, Mo Yu, Kai Wang, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi:
Interpretable Visual Reasoning via Induced Symbolic Space. CoRR abs/2011.11603 (2020) - [i21]Junzhe Zhu, Raymond A. Yeh, Mark Hasegawa-Johnson:
Multi-Decoder DPRNN: High Accuracy Source Counting and Separation. CoRR abs/2011.12022 (2020) - [i20]Kiran Ramnath
, Mark Hasegawa-Johnson:
Seeing is Knowing! Fact-based Visual Question Answering using Knowledge Graph Embeddings. CoRR abs/2012.15484 (2020)
2010 – 2019
- 2019
- [c160]Feng Li, Kaizhi Qian, Mark Hasegawa-Johnson, Masato Akagi:
Monaural Singing Voice Separation Using Fusion-Net with Time-Frequency Masking. APSIPA 2019: 1239-1243 - [c159]Di He, Xuesong Yang
, Boon Pang Lim, Yi Liang, Mark Hasegawa-Johnson, Deming Chen:
When CTC Training Meets Acoustic Landmarks. ICASSP 2019: 5996-6000 - [c158]Leda Sari
, Samuel Thomas, Mark Hasegawa-Johnson, Michael Picheny:
Pre-training of Speaker Embeddings for Low-latency Speaker Change Detection in Broadcast News. ICASSP 2019: 6286-6290 - [c157]Mary Pietrowicz, Carla Agurto
, Jonah Casebeer, Mark Hasegawa-Johnson, Karrie Karahalios, Guillermo A. Cecchi:
Dimensional Analysis of Laughter in Female Conversational Speech. ICASSP 2019: 6600-6604 - [c156]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson:
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss. ICML 2019: 5210-5219 - [c155]Leda Sari, Samuel Thomas, Mark A. Hasegawa-Johnson:
Learning Speaker Aware Offsets for Speaker Adaptation of Neural Networks. INTERSPEECH 2019: 769-773 - [c154]Odette Scharenborg
, Jiska Koemans, Cybelle Smith, Mark A. Hasegawa-Johnson, Kara D. Federmeier:
The Neural Correlates Underlying Lexically-Guided Perceptual Learning. INTERSPEECH 2019: 1223-1227 - [c153]Liming Wang, Mark A. Hasegawa-Johnson:
Multimodal Word Discovery and Retrieval with Phone Sequence and Image Concepts. INTERSPEECH 2019: 2683-2687 - [c152]Laureano Moro-Velázquez
, Jaejin Cho, Shinji Watanabe
, Mark A. Hasegawa-Johnson, Odette Scharenborg
, Heejin Kim, Najim Dehak
:
Study of the Performance of Automatic Speech Recognition Systems in Speakers with Parkinson's Disease. INTERSPEECH 2019: 3875-3879 - [c151]Odette Scharenborg
, Mark Hasegawa-Johnson:
Position Paper: Brain Signal-Based Dialogue Systems. IWSDS 2019: 389-392 - [c150]Junrui Ni, Mark Hasegawa-Johnson, Odette Scharenborg
:
The Time-Course of Phoneme Category Adaptation in Deep Neural Networks. SLSP 2019: 3-15 - [i19]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson:
Zero-Shot Voice Style Transfer with Only Autoencoder Loss. CoRR abs/1905.05879 (2019) - [i18]Ali Abavisani, Mark A. Hasegawa-Johnson:
The role of cue enhancement and frequency fine-tuning in hearing impaired phone recognition. CoRR abs/1908.04751 (2019) - [i17]Mark Hasegawa-Johnson, Camille Goudeseune
, Gina-Anne Levow:
Fast transcription of speech in low-resource languages. CoRR abs/1909.07285 (2019) - 2018
- [j29]Van Hai Do
, Nancy F. Chen
, Boon Pang Lim, Mark A. Hasegawa-Johnson
:
Multitask Learning for Phone Recognition of Underresourced Languages Using Mismatched Transcription. IEEE ACM Trans. Audio Speech Lang. Process. 26(3): 501-514 (2018) - [c149]Renato Ferreira Leitão Azevedo, Daniel G. Morrow, James F. Graumlich, Ann M. Willemsen-Dunlap, Mark Hasegawa-Johnson, Thomas S. Huang, Kuangxiao Gu, Suma Bhat, Tarek Sakakini, Victor Sadauskas, Donald J. Halpin:
Using Conversational Agents to Explain Medication Instructions to Older Adults. AMIA 2018 - [c148]Teck-Yian Lim, Raymond A. Yeh
, Yijia Xu, Minh N. Do
, Mark Hasegawa-Johnson:
Time-Frequency Networks for Audio Super-Resolution. ICASSP 2018: 646-650 - [c147]Odette Scharenborg, Laurent Besacier, Alan W. Black, Mark Hasegawa-Johnson, Florian Metze, Graham Neubig, Sebastian Stüker, Pierre Godard, Markus Müller, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx
, Rachid Riad, Liming Wang, Emmanuel Dupoux:
Linguistic Unit Discovery from Multi-Modal Inputs in Unwritten Languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop. ICASSP 2018: 4979-4983 - [c146]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang
, Dinei A. F. Florêncio, Mark Hasegawa-Johnson:
Deep Learning Based Speech Beamforming. ICASSP 2018: 5389-5393 - [c145]Lucas Ondel, Pierre Godard, Laurent Besacier, Elin Larsen, Mark Hasegawa-Johnson, Odette Scharenborg, Emmanuel Dupoux, Lukás Burget
, François Yvon, Sanjeev Khudanpur:
Bayesian Models for Unit Discovery on a Very Low Resource Language. ICASSP 2018: 5939-5943 - [c144]Wenda Chen, Mark Hasegawa-Johnson, Nancy F. Chen:
Recognizing Zero-Resourced Languages Based on Mismatched Machine Transcriptions. ICASSP 2018: 5979-5983 - [c143]Xuesong Yang
, Kartik Audhkhasi, Andrew Rosenberg, Samuel Thomas, Bhuvana Ramabhadran, Mark Hasegawa-Johnson:
Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition. ICASSP 2018: 5989-5993 - [c142]Raymond A. Yeh
, Teck-Yian Lim, Chen Chen, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do
:
Image Restoration with Deep Generative Models. ICASSP 2018: 6772-6776 - [c141]Yijia Xu, Mark Hasegawa-Johnson, Nancy McElwain:
Infant Emotional Outbursts Detection in Infant-parent Spoken Interactions. INTERSPEECH 2018: 242-246 - [c140]Odette Scharenborg
, Sebastian Tiesmeyer, Mark Hasegawa-Johnson, Najim Dehak
:
Visualizing Phoneme Category Adaptation in Deep Neural Networks. INTERSPEECH 2018: 1482-1486 - [c139]Wenda Chen, Mark Hasegawa-Johnson, Nancy F. Chen
:
Topic and Keyword Identification for Low-resourced Speech Using Cross-Language Transfer Learning. INTERSPEECH 2018: 2047-2051 - [c138]Amit Das, Mark Hasegawa-Johnson:
Improving DNNs Trained with Non-Native Transcriptions Using Knowledge Distillation and Target Interpolation. INTERSPEECH 2018: 2434-2438 - [c137]Di He, Boon Pang Lim, Xuesong Yang
, Mark Hasegawa-Johnson, Deming Chen:
Improved ASR for Under-resourced Languages through Multi-task Learning with Acoustic Landmarks. INTERSPEECH 2018: 2618-2622 - [c136]Leda Sari, Mark Hasegawa-Johnson, Kumaran S, Georg Stemmer
, Krishnakumar N. Nair:
Speaker Adaptive Audio-Visual Fusion for the Open-Vocabulary Section of AVICAR. INTERSPEECH 2018: 3524-3528 - [c135]Odette Scharenborg
, Patrick Ebel, Mark Hasegawa-Johnson, Najim Dehak
:
Building an ASR System for Mboshi Using A Cross-Language Definition of Acoustic Units Approach. SLTU 2018: 167-171 - [i16]Xuesong Yang, Kartik Audhkhasi, Andrew Rosenberg, Samuel Thomas, Bhuvana Ramabhadran, Mark Hasegawa-Johnson:
Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition. CoRR abs/1802.02656 (2018) - [i15]Odette Scharenborg, Laurent Besacier, Alan W. Black, Mark Hasegawa-Johnson, Florian Metze, Graham Neubig, Sebastian Stüker, Pierre Godard, Markus Müller, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx, Rachid Riad, Liming Wang, Emmanuel Dupoux:
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop. CoRR abs/1802.05092 (2018) - [i14]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei A. F. Florêncio, Mark Hasegawa-Johnson:
Deep Learning Based Speech Beamforming. CoRR abs/1802.05383 (2018) - [i13]Lucas Ondel, Pierre Godard, Laurent Besacier, Elin Larsen, Mark Hasegawa-Johnson, Odette Scharenborg, Emmanuel Dupoux
, Lukás Burget, François Yvon, Sanjeev Khudanpur:
Bayesian Models for Unit Discovery on a Very Low Resource Language. CoRR abs/1802.06053 (2018) - [i12]Di He, Boon Pang Lim, Xuesong Yang, Mark Hasegawa-Johnson, Deming Chen:
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks. CoRR abs/1805.05574 (2018) - [i11]Di He, Xuesong Yang, Boon Pang Lim, Yi Liang, Mark Hasegawa-Johnson, Deming Chen:
When CTC Training Meets Acoustic Landmarks. CoRR abs/1811.02063 (2018) - 2017
- [j28]Daniel G. Morrow, Mark Hasegawa-Johnson, Thomas S. Huang, William Schuh, Renato Ferreira Leitão Azevedo, Kuangxiao Gu, Yang Zhang, Bidisha Roy
, Rocío García-Retamero
:
A multidisciplinary approach to designing and evaluating Electronic Medical Record portal messages that support patient self-care. J. Biomed. Informatics 69: 63-74 (2017) - [j27]Mark A. Hasegawa-Johnson
, Preethi Jyothi, Daniel McCloy
, Majid Mirbagheri, Giovanni M. Di Liberto, Amit Das, Bradley Ekin, Chunxi Liu, Vimal Manohar, Hao Tang, Edmund C. Lalor, Nancy F. Chen
, Paul Hager, Tyler Kekona, Rose Sloan, Adrian K. C. Lee
:
ASR for Under-Resourced Languages From Probabilistic Transcription. IEEE ACM Trans. Audio Speech Lang. Process. 25(1): 46-59 (2017) - [c134]Mark Hasegawa-Johnson, Preethi Jyothi, Wenda Chen, Van Hai Do:
Mismatched crowdsourcing: Mining latent skills to acquire speech transcriptions. ACSSC 2017: 1277-1281 - [c133]Renato Ferreira Leitão Azevedo, Kuangxiao Gu, Yang Zhang, Victor Sadauskas, Tarek Sakakini, Daniel G. Morrow, Mark Hasegawa-Johnson, Thomas S. Huang, Suma Bhat, Ann Willemsen-Dunlap, Donald J. Halpin, James F. Graumlich, William Schuh:
Using Computer Agents to Explain Clinical Test Results. AMIA 2017 - [c132]Tarek Sakakini, Renato Ferreira Leitão Azevedo, Victor Sadauskas, Kuangxiao Gu, Yang Zhang, Suma Bhat, Daniel G. Morrow, Mark Hasegawa-Johnson, Thomas S. Huang, Ann M. Willemsen-Dunlap, Donald J. Halpin, James F. Graumlich:
Dr. Babel Fish: A Machine Translator to Simplify Providers' Language. AMIA 2017 - [c131]Nancy F. Chen
, Boon Pang Lim, Van Hai Do, Van Tung Pham, Chongjia Ni, Haihua Xu, Mark Hasegawa-Johnson, Wenda Chen, Xiong Xiao, Sunil Sivadas, Eng Siong Chng
, Bin Ma, Haizhou Li
:
Low-resource spoken keyword search strategies in georgian inspired by distinctive feature theory. APSIPA 2017: 1322-1327 - [c130]Raymond A. Yeh
, Chen Chen, Teck-Yian Lim, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do
:
Semantic Image Inpainting with Deep Generative Models. CVPR 2017: 6882-6890 - [c129]Preethi Jyothi, Mark Hasegawa-Johnson:
Low-resource grapheme-to-phoneme conversion using recurrent neural networks. ICASSP 2017: 5030-5034 - [c128]Mary Pietrowicz, Mark Hasegawa-Johnson, Karrie Karahalios:
Discovering dimensions of perceived vocal expression in semi-structured, unscripted oral history accounts. ICASSP 2017: 5695-5699 - [c127]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. ICLR (Workshop) 2017 - [c126]Van Hai Do, Nancy F. Chen
, Boon Pang Lim, Mark Hasegawa-Johnson:
Multi-Task Learning Using Mismatched Transcription for Under-Resourced Speech Recognition. INTERSPEECH 2017: 734-738 - [c125]Di He, Zuofu Cheng, Mark Hasegawa-Johnson, Deming Chen:
Using Approximated Auditory Roughness as a Pre-Filtering Feature for Human Screaming and Affective Speech AED. INTERSPEECH 2017: 1914-1918 - [c124]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang
, Dinei Florêncio, Mark Hasegawa-Johnson:
Speech Enhancement Using Bayesian Wavenet. INTERSPEECH 2017: 2013-2017 - [c123]Pavlos Papadopoulos, Ruchir Travadi, Colin Vaz, Nikolaos Malandrakis, Ulf Hermjakob, Nima Pourdamghani, Michael Pust, Boliang Zhang, Xiaoman Pan, Di Lu, Ying Lin, Ondrej Glembek, Murali Karthick Baskar, Martin Karafiát
, Lukás Burget
, Mark Hasegawa-Johnson, Heng Ji, Jonathan May
, Kevin Knight, Shrikanth S. Narayanan:
Team ELISA System for DARPA LORELEI Speech Evaluation 2016. INTERSPEECH 2017: 2053-2057 - [c122]Amit Das, Mark Hasegawa-Johnson, Karel Veselý:
Deep Auto-Encoder Based Multi-Task Learning Using Probabilistic Transcriptions. INTERSPEECH 2017: 2073-2077 - [c121]Yang Zhang, Dinei Florêncio, Mark Hasegawa-Johnson:
Glottal Model Based Speech Beamforming for ad-hoc Microphone Arrays. INTERSPEECH 2017: 2675-2679 - [c120]Wenda Chen, Mark Hasegawa-Johnson, Nancy F. Chen
, Boon Pang Lim:
Mismatched Crowdsourcing from Multiple Annotator Languages for Recognizing Zero-Resourced Languages: A Nullspace Clustering Approach. INTERSPEECH 2017: 2789-2793 - [c119]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. NIPS 2017: 77-87 - [c118]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. WWW 2017: 381-389 - [i10]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. CoRR abs/1704.06001 (2017) - [i9]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. CoRR abs/1710.02224 (2017) - [i8]Di He, Boon Pang Lim, Xuesong Yang, Mark Hasegawa-Johnson, Deming Chen:
Acoustic Landmarks Contain More Information About the Phone String than Other Frames. CoRR abs/1710.09985 (2017) - 2016
- [j26]Karen Livescu, Frank Rudzicz
, Eric Fosler-Lussier, Mark Hasegawa-Johnson, Jeff A. Bilmes:
Speech Production in Speech Technologies: Introduction to the CSL Special Issue. Comput. Speech Lang. 36: 165-172 (2016) - [c117]Van Hai Do, Nancy F. Chen
, Boon Pang Lim, Mark Hasegawa-Johnson:
Speech recognition of under-resourced languages using mismatched transcriptions. IALP 2016: 112-115 - [c116]Raymond A. Yeh
, Mark Hasegawa-Johnson, Minh N. Do
:
Stable and symmetric filter convolutional neural network. ICASSP 2016: 2652-2656 - [c115]Yanlu Xie, Mark Hasegawa-Johnson, Leyuan Qu, Jinsong Zhang
:
Landmark of Mandarin nasal codas and its application in pronunciation error detection. ICASSP 2016: 5370-5374 - [c114]Chunxi Liu, Preethi Jyothi, Hao Tang, Vimal Manohar, Rose Sloan, Tyler Kekona, Mark Hasegawa-Johnson, Sanjeev Khudanpur:
Adapting ASR for under-resourced languages using mismatched transcriptions. ICASSP 2016: 5840-5844 - [c113]Amit Das, Preethi Jyothi, Mark Hasegawa-Johnson:
Automatic Speech Recognition Using Probabilistic Transcriptions in Swahili, Amharic, and Dinka. INTERSPEECH 2016: 3524-3528 - [c112]Amit Das, Mark Hasegawa-Johnson:
An Investigation on Training Deep Neural Networks Using Probabilistic Transcriptions. INTERSPEECH 2016: 3858-3862 - [c111]Van Hai Do, Nancy F. Chen
, Boon Pang Lim, Mark Hasegawa-Johnson:
Analysis of Mismatched Transcriptions Generated by Humans and Machines for Under-Resourced Languages. INTERSPEECH 2016: 3863-3867 - [c110]Lav R. Varshney, Preethi Jyothi, Mark Hasegawa-Johnson:
Language coverage for mismatched crowdsourcing. ITA 2016: 1-9 - [c109]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Positive-Unlabeled Learning in Streaming Networks. KDD 2016: 755-764 - [c108]Van Hai Do, Nancy F. Chen
, Boon Pang Lim, Mark Hasegawa-Johnson:
A many-to-one phone mapping approach for cross-lingual speech recognition. RIVF 2016: 120-124 - [c107]Wenda Chen, Mark Hasegawa-Johnson, Nancy F. Chen
:
Mismatched Crowdsourcing based Language Perception for Under-resourced Languages. SLTU 2016: 23-29 - [c106]Xiang Kong, Preethi Jyothi, Mark Hasegawa-Johnson:
Performance Improvement of Probabilistic Transcriptions with Language-specific Constraints. SLTU 2016: 30-36 - [c105]Ruobai Wang, Yang Zhang, Zhijian Ou, Mark Hasegawa-Johnson:
Use of particle filtering and MCMC for inference in Probabilistic Acoustic Tube model. SSP 2016: 1-5 - [c104]Wenda Chen, Mark Hasegawa-Johnson, Nancy F. Chen, Preethi Jyothi, Lav R. Varshney:
Clustering-based Phonetic Projection in Mismatched Crowdsourcing Channels for Low-resourced ASR. WSSANLP@COLING 2016: 133-141 - [i7]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. CoRR abs/1607.06182 (2016) - [i6]Raymond A. Yeh, Chen Chen, Teck-Yian Lim, Mark Hasegawa-Johnson, Minh N. Do:
Semantic Image Inpainting with Perceptual and Contextual Losses. CoRR abs/1607.07539 (2016) - [i5]Xiang Kong, Xuesong Yang, Mark Hasegawa-Johnson, Jeung-Yoon Choi, Stefanie Shattuck-Hufnagel:
Landmark-based consonant voicing detection on multilingual corpora. CoRR abs/1611.03533 (2016) - [i4]Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Fast Wavenet Generation Algorithm. CoRR abs/1611.09482 (2016) - [i3]Xiang Kong, Preethi Jyothi, Mark Hasegawa-Johnson:
Performance Improvements of Probabilistic Transcript-adapted ASR with Recurrent Neural Network and Language-specific Constraints. CoRR abs/1612.03991 (2016) - 2015
- [j25]Po-Sen Huang, Minje Kim
, Mark Hasegawa-Johnson, Paris Smaragdis:
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 23(12): 2136-2147 (2015) - [c103]Preethi Jyothi, Mark Hasegawa-Johnson:
Acquiring Speech Transcriptions Using Mismatched Crowdsourcing. AAAI 2015: 1263-1269 - [c102]Yang Zhang, Nasser M. Nasrabadi, Mark Hasegawa-Johnson:
Multichannel transient acoustic signal classification using task-driven dictionary with joint sparsity and beamforming. ICASSP 2015: 1866-1870 - [c101]Preethi Jyothi, Mark Hasegawa-Johnson:
Transcribing continuous speech using mismatched crowdsourcing. INTERSPEECH 2015: 2774-2778 - [c100]Preethi Jyothi, Mark Hasegawa-Johnson:
Improved hindi broadcast ASR by adapting the language model and pronunciation model using a priori syntactic and morphophonemic knowledge. INTERSPEECH 2015: 3164-3168 - [c99]Amit Das, Mark Hasegawa-Johnson:
Cross-lingual transfer learning during supervised training in low resource scenarios. INTERSPEECH 2015: 3531-3535 - [c98]Mary Pietrowicz, Mark Hasegawa-Johnson, Karrie Karahalios:
Acoustic correlates for perceived effort levels in expressive speech. INTERSPEECH 2015: 3720-3724 - [c97]Jia Chen Ren, Mark Hasegawa-Johnson, Lawrence Angrave:
Classtranscribe: a new tool with new educational opportunities for student crowdsourced college lecture transcription. SLaTE 2015: 179-180 - [c96]Yang Zhang, Zhijian Ou, Mark Hasegawa-Johnson:
Incorporating AM-FM effect in voiced speech for probabilistic acoustic tube model. WASPAA 2015: 1-5 - [i2]Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis:
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation. CoRR abs/1502.04149 (2015) - 2014
- [j24]Kyungtae Kim, Kai-Hsiang Lin, Dirk B. Walther, Mark Hasegawa-Johnson, Thomas S. Huang:
Automatic detection of auditory salience with optimized linear filters derived from human annotation. Pattern Recognit. Lett. 38: 78-85 (2014) - [j23]Austin Chen, Mark A. Hasegawa-Johnson:
Mixed stereo audio classification using a stereo-input mixed-to-panned level feature. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 2025-2033 (2014) - [c95]Sujeeth Bharadwaj, Mark Hasegawa-Johnson:
A PAC-Bayesian Approach to Minimum Perplexity Language Modeling. COLING 2014: 130-140 - [c94]Zhaowen Wang, Zhangyang Wang, Mark Moll
, Po-Sen Huang, Devin K. Grady, Nasser M. Nasrabadi, Thomas S. Huang, Lydia E. Kavraki
, Mark Hasegawa-Johnson:
Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP. CVPR Workshops 2014: 754-761 - [c93]Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis:
Deep learning for monaural speech separation. ICASSP 2014: 1562-1566 - [c92]Yang Zhang, Zhijian Ou, Mark Hasegawa-Johnson:
Improvement of Probabilistic Acoustic Tube model for speech decomposition. ICASSP 2014: 7929-7933 - [c91]Kai-Hsiang Lin, Pooya Khorrami, Jiangping Wang, Mark Hasegawa-Johnson, Thomas S. Huang:
Foreground object detection in highly dynamic scenes using saliency. ICIP 2014: 1125-1129 - [c90]Alina Khasanova, Jennifer Cole
, Mark Hasegawa-Johnson:
Detecting articulatory compensation in acoustic data through linear regression modeling. INTERSPEECH 2014: 925-929 - [c89]Xiayu Chen, Yang Zhang, Mark Hasegawa-Johnson:
An iterative approach to decision tree training for context dependent speech synthesis. INTERSPEECH 2014: 2327-2331 - [c88]Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, Paris Smaragdis:
Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks. ISMIR 2014: 477-482 - [c87]Mohamed Elmahdy, Mark Hasegawa-Johnson, Eiman Mustafawi:
Development of a TV Broadcasts Speech Recognition System for Qatari Arabic. LREC 2014: 3057-3061 - [c86]Mohamed Elmahdy, Mark Hasegawa-Johnson, Eiman Mustafawi:
Automatic Long Audio Alignment and Confidence Scoring for Conversational Arabic Speech. LREC 2014: 3062-3066 - 2013
- [j22]Harsh Vardhan Sharma, Mark Hasegawa-Johnson:
Acoustic model adaptation using in-domain background models for dysarthric speech recognition. Comput. Speech Lang. 27(6): 1147-1162 (2013) - [j21]Kai-Hsiang Lin, Xiaodan Zhuang, Camille Goudeseune, Sarah King, Mark Hasegawa-Johnson, Thomas S. Huang:
Saliency-maximized audio visualization and efficient audio-visual browsing for faster-than-real-time human acoustic event detection. ACM Trans. Appl. Percept. 10(4): 26:1-26:16 (2013) - [c85]Sujeeth Bharadwaj, Mark Hasegawa-Johnson, Jitendra Ajmera, Om Deshmukh, Ashish Verma:
Sparse hidden Markov models for purer clusters. ICASSP 2013: 3098-3102 - [c84]Po-Sen Huang, Li Deng, Mark Hasegawa-Johnson, Xiaodong He:
Random features for Kernel Deep Convex Network. ICASSP 2013: 3143-3147 - [c83]Sarah King, Mark Hasegawa-Johnson:
Accurate speech segmentation by mimicking human auditory processing. ICASSP 2013: 8096-8100 - 2012
- [j20]Robert Mertens, Po-Sen Huang, Luke R. Gottlieb, Gerald Friedland, Ajay Divakaran, Mark Hasegawa-Johnson:
On the Applicability of Speaker Diarization to Audio Indexing of Non-Speech and Mixed Non-Speech/Speech Video Soundtracks. Int. J. Multim. Data Eng. Manag. 3(3): 1-19 (2012) - [j19]Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, Thomas S. Huang:
Partially Supervised Speaker Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 959-971 (2012) - [j18]Shobhit Mathur, Marshall Scott Poole, Feniosky Peña-Mora, Mark Hasegawa-Johnson, Noshir S. Contractor:
Detecting interaction links in a collaborating group using manually annotated data. Soc. Networks 34(4): 515-526 (2012) - [j17]I. Yücel Özbek
, Mark Hasegawa-Johnson, Mübeccel Demirekler:
On Improving Dynamic State Space Approaches to Articulatory Inversion With MAP-Based Parameter Estimation. IEEE Trans. Speech Audio Process. 20(1): 67-81 (2012) - [c82]Sarah King, Mark Hasegawa-Johnson:
Detection of Acoustic-Phonetic Landmarks in Mismatched Conditions using a Biomimetic Model of Human Auditory Processing. COLING (Posters) 2012: 589-598 - [c81]Po-Sen Huang, Scott Deeann Chen, Paris Smaragdis, Mark Hasegawa-Johnson:
Singing-voice separation from monaural recordings using robust principal component analysis. ICASSP 2012: 57-60 - [c80]Po-Sen Huang, Robert Mertens, Ajay Divakaran, Gerald Friedland, Mark Hasegawa-Johnson:
How to put it into words - using random forests to extract symbol level descriptions from audio content for concept detection. ICASSP 2012: 505-508 - [c79]Kai-Hsiang Lin, Xiaodan Zhuang, Camille Goudeseune, Sarah King, Mark Hasegawa-Johnson, Thomas S. Huang:
Improving faster-than-real-time human acoustic event detection by saliency-maximized audio visualization. ICASSP 2012: 2277-2280 - [c78]Tim Mahrt, Jennifer Cole, Margaret M. Fleck, Mark Hasegawa-Johnson:
F0 and the Perception of Prominence. INTERSPEECH 2012: 2422-2425 - [c77]Po-Sen Huang, Jianchao Yang, Mark Hasegawa-Johnson, Feng Liang, Thomas S. Huang:
Pooling Robust Shift-Invariant Sparse Representations of Acoustic Signals. INTERSPEECH 2012: 2518-2521 - [c76]Po-Sen Huang, Mark Hasegawa-Johnson, Wotao Yin
, Thomas S. Huang:
Opportunistic sensing: Unattended acoustic sensor selection using crowdsourcing models. MLSP 2012: 1-6 - 2011
- [j16]Bryce E. Lobdell, Jont B. Allen, Mark Hasegawa-Johnson:
Intelligibility predictors and neural representation of speech. Speech Commun. 53(2): 185-194 (2011) - [j15]I. Yücel Özbek
, Mark Hasegawa-Johnson, Mübeccel Demirekler:
Estimation of Articulatory Trajectories Based on Gaussian Mixture Model (GMM) With Audio-Visual Information Fusion and Dynamic Kalman Smoothing. IEEE Trans. Speech Audio Process. 19(5): 1180-1195 (2011) - [c75]Po-Sen Huang, Thyagaraju Damarla, Mark Hasegawa-Johnson:
Multi-sensory features for personnel detection at border crossings. FUSION 2011: 1-8 - [c74]Po-Sen Huang, Xiaodan Zhuang, Mark Hasegawa-Johnson:
Improving acoustic event detection using generalizable visual features and multi-modality modeling. ICASSP 2011: 349-352 - [c73]Tim Mahrt, Jui-Ting Huang, Yoonsook Mo, Margaret M. Fleck, Mark Hasegawa-Johnson, Jennifer Cole:
Optimal Models of Prosodic Prominence Using the Bayesian Information Criterion. INTERSPEECH 2011: 2037-2040 - [c72]Mark Hasegawa-Johnson, Jui-Ting Huang, Xiaodan Zhuang:
Unlabeled data and other marginals. MLSLP 2011 - [p1]Xiaodan Zhuang, Xi Zhou, Mark Hasegawa-Johnson, Thomas S. Huang:
Efficient Object Localization with Variation-Normalized Gaussianized Vectors. Intelligent Video Event Analysis and Understanding 2011: 93-109 - [i1]Bowon Lee, Camille Goudeseune, Mark Hasegawa-Johnson:
Open-loop multi-channel inversion of room impulse response. CoRR abs/1106.1199 (2011) - 2010
- [j14]Xi Zhou, Xiaodan Zhuang, Hao Tang, Mark Hasegawa-Johnson, Thomas S. Huang:
Novel Gaussianized vector representation for improved natural scene categorization. Pattern Recognit. Lett. 31(8): 702-708 (2010) - [j13]Xiaodan Zhuang, Xi Zhou, Mark Hasegawa-Johnson
, Thomas S. Huang:
Real-world acoustic event detection. Pattern Recognit. Lett. 31(12): 1543-1551 (2010) - [j12]Hao Tang, Mark Hasegawa-Johnson, Thomas S. Huang:
A Novel Vector Representation of Stochastic Signals Based on Adapted Ergodic HMMs. IEEE Signal Process. Lett. 17(8): 715-718 (2010) - [c71]Lae-Hoon Kim, Mark Hasegawa-Johnson, Gerasimos Potamianos, Vit Libal:
Joint estimation of DOA and speech based on EM beamforming. ICASSP 2010: 121-124 - [c70]Hao Tang, Mark Hasegawa-Johnson, Thomas S. Huang:
Toward robust learning of the Gaussian mixture state emission densities for hidden Markov models. ICASSP 2010: 5242-5245 - [c69]Hao Tang, Mark Hasegawa-Johnson, Thomas S. Huang:
Non-frontal view facial expression recognition based on ergodic hidden Markov model supervectors. ICME 2010: 1202-1207 - [c68]Hosung Nam, Vikramjit Mitra, Mark Tiede, Elliot Saltzman, Louis Goldstein, Carol Y. Espy-Wilson, Mark Hasegawa-Johnson:
A procedure for estimating gestural scores from natural speech. INTERSPEECH 2010: 30-33 - [c67]Su-Youn Yoon, Mark Hasegawa-Johnson, Richard Sproat:
Landmark-based automated pronunciation error detection. INTERSPEECH 2010: 614-617 - [c66]Jui-Ting Huang, Mark Hasegawa-Johnson:
Semi-supervised training of Gaussian mixture models by conditional entropy minimization. INTERSPEECH 2010: 1353-1356 - [c65]Xiaodan Zhuang, Lijuan Wang, Frank K. Soong, Mark Hasegawa-Johnson:
A minimum converted trajectory error (MCTE) approach to high quality speech-to-lips conversion. INTERSPEECH 2010: 1736-1739 - [c64]Lae-Hoon Kim, Kyung-Tae Kim, Mark Hasegawa-Johnson:
Robust automatic speech recognition with decoder oriented ideal binary mask estimation. INTERSPEECH 2010: 2066-2069 - [c63]Chi Hu, Xiaodan Zhuang, Mark Hasegawa-Johnson:
FSM-based pronunciation modeling using articulatory phonological code. INTERSPEECH 2010: 2274-2277 - [c62]Heejin Kim, Panying Rong, Torrey M. Loucks, Mark Hasegawa-Johnson:
Kinematic analysis of tongue movement control in spastic dysarthria. INTERSPEECH 2010: 2578-2581 - [c61]Harsh Vardhan Sharma, Mark Hasegawa-Johnson:
State-Transition Interpolation and MAP Adaptation for HMM-based Dysarthric Speech Recognition. SLPAT@NAACL 2010: 72-79
2000 – 2009
- 2009
- [j11]Thomas S. Huang, Mark A. Hasegawa-Johnson, Stephen M. Chu, Zhihong Zeng, Hao Tang:
Sensitive Talking Heads [Applications Corner]. IEEE Signal Process. Mag. 26(4): 67-72 (2009) - [c60]Jui-Ting Huang, Xi Zhou, Mark Hasegawa-Johnson
, Thomas S. Huang:
Kernel metric learning for phonetic classification. ASRU 2009: 141-145 - [c59]Xiaodan Zhuang, Jing Huang, Gerasimos Potamianos, Mark Hasegawa-Johnson:
Acoustic fall detection using Gaussian mixture models and GMM supervectors. ICASSP 2009: 69-72 - [c58]Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, Thomas S. Huang:
Emotion recognition from speech VIA boosted Gaussian mixture models. ICME 2009: 294-297 - [c57]Harsh Vardhan Sharma, Mark Hasegawa-Johnson:
Universal access: speech recognition for talkers with spastic dysarthria. INTERSPEECH 2009: 1451-1454 - [c56]Su-Youn Yoon, Mark Hasegawa-Johnson, Richard Sproat:
Automated pronunciation scoring using confidence scoring and landmark-based SVM. INTERSPEECH 2009: 1903-1906 - [c55]Yoonsook Mo, Jennifer Cole, Mark Hasegawa-Johnson:
Prosodic effects on vowel production: evidence from formant structure. INTERSPEECH 2009: 2535-2538 - [c54]Xiaodan Zhuang, Hosung Nam, Mark Hasegawa-Johnson, Louis Goldstein, Elliot Saltzman:
Articulatory phonological code for word classification. INTERSPEECH 2009: 2763-2766 - [c53]I. Yücel Özbek, Mark Hasegawa-Johnson, Mübeccel Demirekler:
Formant trajectories for acoustic-to-articulatory inversion. INTERSPEECH 2009: 2807-2810 - 2008
- [j10]Soo-Eun Chang
, Kirk I. Erickson, Nicoline G. Ambrose, Mark A. Hasegawa-Johnson, Christy L. Ludlow
:
Brain anatomy differences in childhood stuttering. NeuroImage 39(3): 1333-1344 (2008) - [j9]Hao Tang, Yun Fu, Jilin Tu, Mark Hasegawa-Johnson, Thomas S. Huang:
Humanoid Audio-Visual Avatar With Emotive Text-to-Speech Synthesis. IEEE Trans. Multim. 10(6): 969-981 (2008) - [c52]Shuicheng Yan, Xi Zhou, Ming Liu, Mark Hasegawa-Johnson, Thomas S. Huang:
Regression from patch-kernel. CVPR 2008 - [c51]Xiaodan Zhuang, Xi Zhou, Thomas S. Huang, Mark Hasegawa-Johnson:
Feature analysis and selection for acoustic event detection. ICASSP 2008: 17-20 - [c50]Lae-Hoon Kim, Mark Hasegawa-Johnson:
Optimal speech estimator considering room response as well as additive noise: Different approaches in low and high frequency range. ICASSP 2008: 4573-4576 - [c49]Hao Tang, Yuxiao Hu, Yun Fu, Mark Hasegawa-Johnson, Thomas S. Huang:
Real-time conversion from a single 2D face image to a 3D text-driven emotive audio-visual avatar. ICME 2008: 1205-1208 - [c48]Xi Zhou, Xiaodan Zhuang, Hao Tang, Mark Hasegawa-Johnson
, Thomas S. Huang:
A novel Gaussianized vector representation for natural scene categorization. ICPR 2008: 1-4 - [c47]Xiaodan Zhuang, Xi Zhou, Mark Hasegawa-Johnson
, Thomas S. Huang:
Face age estimation using patch-based hidden Markov model supervectors. ICPR 2008: 1-4 - [c46]Jui-Ting Huang, Mark Hasegawa-Johnson:
Maximum mutual information estimation with unlabeled data for phonetic classification. INTERSPEECH 2008: 952-955 - [c45]Xiaodan Zhuang, Hosung Nam, Mark Hasegawa-Johnson, Louis M. Goldstein, Elliot Saltzman:
The entropy of the articulatory phonological code: recognizing gestures from tract variables. INTERSPEECH 2008: 1489-1492 - [c44]Heejin Kim, Mark Hasegawa-Johnson, Adrienne Perlman, Jon R. Gunderson, Thomas S. Huang, Kenneth L. Watkin, Simone Frame:
Dysarthric speech database for universal access research. INTERSPEECH 2008: 1741-1744 - [c43]Bryce E. Lobdell, Mark Hasegawa-Johnson, Jont B. Allen:
Human speech perception and feature extraction. INTERSPEECH 2008: 1797-1800 - [c42]Hao Tang, Xi Zhou, Matthias Odisio, Mark Hasegawa-Johnson, Thomas S. Huang:
Two-stage prosody prediction for emotional text-to-speech synthesis. INTERSPEECH 2008: 2138-2141 - [c41]Xi Zhou, Xiaodan Zhuang, Shuicheng Yan, Shih-Fu Chang, Mark Hasegawa-Johnson, Thomas S. Huang:
SIFT-Bag kernel for video event analysis. ACM Multimedia 2008: 229-238 - [c40]Hao Tang, Yun Fu, Jilin Tu, Thomas S. Huang, Mark Hasegawa-Johnson:
EAVA: A 3D Emotive Audio-Visual Avatar. WACV 2008: 1-6 - 2007
- [j8]Jennifer Cole
, Heejin Kim, Hansook Choi, Mark Hasegawa-Johnson:
Prosodic effects on acoustic cues to stop voicing and place of articulation: Evidence from Radio News speech. J. Phonetics 35(2): 180-209 (2007) - [c39]Ming Liu, Yanxiang Chen, Xi Zhou, Xiaodan Zhuang, Mark Hasegawa-Johnson
, Thomas S. Huang:
Multichannel and Multimodality Person Identification. CLEAR 2007: 248-255 - [c38]Xi Zhou, Xiaodan Zhuang, Ming Liu, Hao Tang, Mark Hasegawa-Johnson, Thomas S. Huang:
HMM-Based Acoustic Event Detection with AdaBoost Feature Selection. CLEAR 2007: 345-353 - [c37]Karen Livescu, Özgür Çetin, Mark Hasegawa-Johnson, Simon King
, Chris D. Bartels, Nash M. Borges, Arthur Kantor, Partha Lal, Lisa Yung, Ari Bezman, Stephen Dawson-Haggerty, Bronwyn Woods, Joe Frankel, Mathew Magimai-Doss
, Kate Saenko:
Articulatory Feature-Based Methods for Acoustic and Audio-Visual Speech Recognition: Summary from the 2006 JHU Summer workshop. ICASSP (4) 2007: 621-624 - [c36]Yun Fu, Xi Zhou, Ming Liu, Mark Hasegawa-Johnson, Thomas S. Huang:
Lipreading by Locality Discriminant Graph. ICIP (3) 2007: 325-328 - [c35]Ming Liu, Zhengyou Zhang, Mark Hasegawa-Johnson, Thomas S. Huang:
Exploring Discriminative Learning for Text-Independent Speaker Recognition. ICME 2007: 56-59 - [c34]Xi Zhou, Yun Fu, Ming Liu, Mark Hasegawa-Johnson, Thomas S. Huang:
Robust Analysis and Weighting on MFCC Components for Speech Recognition and Speaker Identification. ICME 2007: 188-191 - [c33]Ming Liu, Xi Zhou, Mark Hasegawa-Johnson, Thomas S. Huang, Zhengyou Zhang:
Frequency domain correspondence for speaker normalization. INTERSPEECH 2007: 274-277 - [c32]Mark Hasegawa-Johnson
:
A Multi-Stream Approach to Audiovisual Automatic Speech Recognition. MMSP 2007: 328-331 - 2006
- [j7]Tong Zhang, Mark Hasegawa-Johnson, Stephen E. Levinson:
Extraction of pragmatic and semantic salience from spontaneous spoken English. Speech Commun. 48(3-4): 437-462 (2006) - [j6]Tong Zhang, Mark Hasegawa-Johnson
, Stephen E. Levinson:
Cognitive state classification in a spoken tutorial dialogue system. Speech Commun. 48(6): 616-632 (2006) - [j5]Ken Chen
, Mark Hasegawa-Johnson, Aaron Cohen, Sarah Borys, Sung-Suk Kim, Jennifer Cole
, Jeung-Yoon Choi:
Prosody dependent speech recognition on radio news corpus of American English. IEEE Trans. Speech Audio Process. 14(1): 232-245 (2006) - [c31]Lae-Hoon Kim, Mark Hasegawa-Johnson, Koeng-Mo Sung:
Generalized Optimal Multi-Microphone Speech Enhancement Using Sequential Minimum Variance Distortionless Response(MVDR) Beamforming and Postfiltering. ICASSP (3) 2006: 65-68 - [c30]Mark Hasegawa-Johnson, Jon R. Gunderson, Adrienne Perlman, Thomas S. Huang:
Hmm-Based and Svm-Based Recognition of the Speech of Talkers With Spastic Dysarthria. ICASSP (3) 2006: 1060-1063 - [c29]Rahul Chitturi, Mark Hasegawa-Johnson:
Novel time domain multi-class SVMs for landmark detection. INTERSPEECH 2006 - [c28]Rahul Chitturi, Mark Hasegawa-Johnson:
Novel entropy based moving average refiners for HMM landmarks. INTERSPEECH 2006 - 2005
- [j4]Mark Hasegawa-Johnson, Ken Chen
, Jennifer Cole
, Sarah Borys, Sung-Suk Kim, Aaron Cohen, Tong Zhang, Jeung-Yoon Choi, Heejin Kim, Taejin Yoon:
Simultaneous recognition of words and prosody in the Boston University Radio Speech Corpus. Speech Commun. 46(3-4): 418-439 (2005) - [c27]Jennifer Cole, Mark Hasegawa-Johnson, Chilin Shih, Heejin Kim, Eun-Kyung Lee, Hsin-Yi Dora Lu, Yoonsook Mo, Taejin Yoon:
Prosodic parallelism as a cue to repetition and error correction disfluency. DiSS 2005: 53-58 - [c26]Mark Hasegawa-Johnson, James Baker, Sarah Borys, Ken Chen
, Emily Coogan, Steven Greenberg, Amit Juneja, Katrin Kirchhoff, Karen Livescu, Srividya Mohan, Jennifer Muller, M. Kemal Sönmez, Tianyu Wang:
Landmark-Based Speech Recognition: Report of the 2004 Johns Hopkins Summer Workshop. ICASSP (1) 2005: 213-216 - [c25]Sarah Borys, Mark Hasegawa-Johnson:
Distinctive feature based SVM discriminant features for improvements to phone recognition on telephone band speech. INTERSPEECH 2005: 697-700 - 2004
- [j3]Sung-Suk Kim, Mark Hasegawa-Johnson, Ken Chen
:
Automatic recognition of pitch movements using multilayer perceptron and time-Delay Recursive neural network. IEEE Signal Process. Lett. 11(7): 645-648 (2004) - [j2]Mohamed Kamal Omar, Mark Hasegawa-Johnson:
Model enforcement: a unified feature transformation framework for classification and recognition. IEEE Trans. Signal Process. 52(10): 2701-2710 (2004) - [c24]Ken Chen, Mark Hasegawa-Johnson, Aaron Cohen:
An automatic prosody labeling system using ANN-based syntactic-prosodic model and GMM-based acoustic-prosodic model. ICASSP (1) 2004: 509-512 - [c23]Yanli Zheng, Mark Hasegawa-Johnson:
Formant tracking by mixture state particle filter. ICASSP (1) 2004: 565-568 - [c22]Ameya N. Deoras, Mark Hasegawa-Johnson:
A factorial HMM approach to simultaneous recognition of isolated digits spoken by multiple talkers on one audio channel. ICASSP (1) 2004: 861-864 - [c21]Mark Hasegawa-Johnson, Stephen E. Levinson, Tong Zhang:
Automatic detection of contrast for speech understanding. INTERSPEECH 2004: 581-584 - [c20]Mark Hasegawa-Johnson, Stephen E. Levinson, Tong Zhang:
Children's emotion recognition in an intelligent tutoring scenario. INTERSPEECH 2004: 1441-1444 - [c19]Ken Chen, Mark Hasegawa-Johnson:
Modeling pronunciation variation using artificial neural networks for English spontaneous speech. INTERSPEECH 2004: 1461-1464 - [c18]Mark Hasegawa-Johnson, Ameya N. Deoras:
A factorial HMM aproach to robust isolated digit recognition in background music. INTERSPEECH 2004: 2093-2096 - [c17]Yanli Zheng, Mark Hasegawa-Johnson, Sarah Borys:
Stop consonant classification by dynamic formant trajectory. INTERSPEECH 2004: 2481-2484 - [c16]Bowon Lee, Mark Hasegawa-Johnson, Camille Goudeseune, Suketu Kamdar, Sarah Borys, Ming Liu, Thomas S. Huang:
AVICAR: audio-visual speech corpus in a car environment. INTERSPEECH 2004: 2489-2492 - [c15]Mital Gandhi, Mark Hasegawa-Johnson:
Source separation using particle filters. INTERSPEECH 2004: 2673-2676 - [c14]Taejin Yoon, Sandra Chavarria, Jennifer Cole, Mark Hasegawa-Johnson:
Intertranscriber reliability of prosodic labeling on telephone conversation using toBI. INTERSPEECH 2004: 2729-2732 - [c13]Sarah Borys, Aaron Cohen, Mark Hasegawa-Johnson, Jennifer Cole:
Modeling and recognition of phonetic and prosodic factors for improvements to acoustic speech recognition models. INTERSPEECH 2004: 3013-3016 - [c12]Yuexi Ren, Mark Hasegawa-Johnson, Stephen E. Levinson:
Semantic analysis for a speech user interface in an intelligent tutoring system. IUI 2004: 313-315 - 2003
- [j1]Mohamed Kamal Omar, Mark Hasegawa-Johnson:
Approximately independent factors of speech using nonlinear symplectic transformation. IEEE Trans. Speech Audio Process. 11(6): 660-671 (2003) - [c11]Yanli Zheng, Mark Hasegawa-Johnson:
Acoustic segmentation using switching state Kalman filter. ICASSP (1) 2003: 752-755 - [c10]Ken Chen, Sarah Borys, Mark Hasegawa-Johnson, Jennifer Cole:
Prosody dependent speech recognition with explicit duration modelling at intonational phrase boundaries. INTERSPEECH 2003: 393-396 - [c9]Mohamed Kamal Omar, Mark Hasegawa-Johnson:
Maximum conditional mutual information projection for speech recognition. INTERSPEECH 2003: 505-508 - [c8]Mohamed Kamal Omar, Mark Hasegawa-Johnson:
Non-linear maximum likelihood feature transformation for speech recognition. INTERSPEECH 2003: 2497-2500 - 2002
- [c7]Mohamed Kamal Omar, Mark Hasegawa-Johnson
:
Maximum mutual information based acoustic-features representation of phonological features for speech recognition. ICASSP 2002: 81-84 - [c6]Zhinian Jing, Mark Hasegawa-Johnson
:
Auditory-modeling inspired methods of feature extraction for robust automatic speech recognition. ICASSP 2002: 4176 - [c5]Mohamed Kamal Omar, Ken Chen, Mark Hasegawa-Johnson, Yigal Brandman:
An evaluation of using mutual information for selection of acoustic-features representation of phonemes for speech recognition. INTERSPEECH 2002: 2129-2132 - 2001
- [c4]Wira Gunawan, Mark Hasegawa-Johnson:
PLP coefficients can be quantized at 400 bps. ICASSP 2001: 77-80 - 2000
- [c3]Mark Hasegawa-Johnson:
Multivariate-state hidden Markov models for simultaneous transcription of phones and formants. ICASSP 2000: 1323-1326 - [c2]Mark Hasegawa-Johnson:
Time-frequency distribution of partial phonetic information measured using mutual information. INTERSPEECH 2000: 133-136 - [c1]Jun Huang, Stephen E. Levinson, Mark Hasegawa-Johnson:
Signal approximation in Hilbert space and its application on articulatory speech synthesis. INTERSPEECH 2000: 775-778
1990 – 1999
- 1996
- [b1]Mark A. Hasegawa-Johnson:
Formant and burst spectral measurements with quantitative error models for speech sound classification. Massachusetts Institute of Technology, Cambridge, MA, USA, 1996
Coauthor Index
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