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2020 – today
- 2024
[c84]Upasana Tiwari
, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Joint Class Learning with Self Similarity Projection for EEG Emotion Recognition. COMAD/CODS 2024: 207-211- [c83]Pankaj Doke, Sunil Kumar Kopparapu:
Challenges and Opportunities Designing Voice User Interfaces for Emergent Users. HCI (5) 2024: 3-16 - [c82]Sunil Kumar Kopparapu, Ashish Panda:
A Cost Minimization Approach to Fix the Vocabulary Size in a Tokenizer for an End-to-End ASR System. ICPR (31) 2024: 331-342 - [c81]Sunil Kumar Kopparapu, Ashish Panda:
Unified Spoken Language Proficiency Assessment System. O-COCOSDA 2024: 1-6 - [i37]Sunil Kumar Kopparapu, Ashish Panda:
A cost minimization approach to fix the vocabulary size in a tokenizer for an End-to-End ASR system. CoRR abs/2406.02563 (2024) - [i36]Sunil Kumar Kopparapu, Chitralekha Bhat, Ashish Panda:
Spoken Grammar Assessment Using LLM. CoRR abs/2410.01579 (2024) - [i35]Sunil Kumar Kopparapu:
Signal Transformation for Effective Multi-Channel Signal Processing. CoRR abs/2412.17478 (2024) - 2023
- [c80]Meghna Pandharipande, Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Tempo-Spectral EEG Biomarkers for Odour Identification. EMBC 2023: 1-4 - [c79]Ashish Panda, Rajul Acharya, Sunil Kumar Kopparapu:
Oral Fluency Classification for Speech Assessment. EUSIPCO 2023: 231-235 - [c78]Meghna Pandharipande, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Modeling of Olfactory Brainwaves for Odour Independent Biometric Identification. EUSIPCO 2023: 1140-1144 - [c77]Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Novel Metric For Evaluating Audio Caption Similarity. ICASSP 2023: 1-5 - [c76]Chitralekha Bhat, Sunil Kumar Kopparapu:
Harnessing Speech Technology for Mental Health Assessment and Detection. SMM 2023 - [c75]Sunil Kumar Kopparapu:
A Novel Scheme to Classify Read and Spontaneous Speech. SPECOM (2) 2023: 32-45 - [c74]Meghna Pandharipande, Sunil Kumar Kopparapu:
Candidate Speech Extraction from Multi-speaker Single-Channel Audio Interviews. SPECOM (1) 2023: 210-221 - [d2]Sunil Kumar Kopparapu:
AIR-RS-DB: All India Radio Read and Spontaneous Speech Data Base. IEEE DataPort, 2023
- [i34]Sunil Kumar Kopparapu:
A Novel Scheme to classify Read and Spontaneous Speech. CoRR abs/2306.08012 (2023) - 2022
- [j13]Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Calibration free meta learning based approach for subject independent EEG emotion recognition. Biomed. Signal Process. Control. 72(Part): 103289 (2022) - [c73]Aditya Raikar, Meet H. Soni, Ashish Panda, Sunil Kumar Kopparapu:
Acoustic Model Adaptation In Reverberant Conditions Using Multi-task Learned Embeddings. EUSIPCO 2022: 145-149 - [c72]Kaustuv Mukherji, Meghna Pandharipande, Sunil Kumar Kopparapu:
Improved Language Models for ASR using Written Language Text. NCC 2022: 362-366 - [c71]Karan Nathwani, Bhavya Dixit, Sunil Kumar Kopparapu:
Using Performance of ASR to Compute Optimal Location of Microphone. SPCOM 2022: 1-5 - [i33]Monisankha Pal, Aditya Raikar, Ashish Panda, Sunil Kumar Kopparapu:
Synthetic speech detection using meta-learning with prototypical loss. CoRR abs/2201.09470 (2022) - [i32]Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Automatic Audio Captioning using Attention weighted Event based Embeddings. CoRR abs/2201.12352 (2022) - [i31]Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Spectro Temporal EEG Biomarkers For Binary Emotion Classification. CoRR abs/2202.03271 (2022) - [i30]Karan Nathwani, Bhavya Dixit, Sunil Kumar Kopparapu:
Computing Optimal Location of Microphone for Improved Speech Recognition. CoRR abs/2203.13259 (2022) - [i29]Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Text-to-Audio Grounding Based Novel Metric for Evaluating Audio Caption Similarity. CoRR abs/2210.06354 (2022) - 2021
- [j12]Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu:
Automatic speaker independent dysarthric speech intelligibility assessment system. Comput. Speech Lang. 69: 101213 (2021) - [j11]Aarti Bakshi, Sunil Kumar Kopparapu:
Improving Indian Spoken-Language Identification by Feature Selection in Duration Mismatch Framework. SN Comput. Sci. 2(6): 442 (2021) - [c70]Upasana Tiwari, Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Deep Lung Auscultation Using Acoustic Biomarkers for Abnormal Respiratory Sound Event Detection. ICASSP 2021: 1305-1309 - [c69]Karan Nathwani, Sunil Kumar Kopparapu:
Impact of Microphone position Measurement Error on Multi Channel Distant Speech Recognition & Intelligibility. ICON 2021: 186-194 - [c68]Swapnil Bhosale, Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Contrastive Learning of Cough Descriptors for Automatic COVID-19 Preliminary Diagnosis. Interspeech 2021: 946-950 - [c67]F. Amal Jude Ashwin, V. Srinivasa Chakravarthy, Sunil Kumar Kopparapu:
An AI-Based Detection System for Mudrabharati: A Novel Unified Fingerspelling System for Indic Scripts. TDS 2021: 425-434 - [i28]Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining. CoRR abs/2102.08074 (2021) - [i27]Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu:
Automatic Speaker Independent Dysarthric Speech Intelligibility Assessment System. CoRR abs/2103.06157 (2021) - [i26]Ayush Tripathi, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios. CoRR abs/2103.13823 (2021) - 2020
- [c66]Ayush Tripathi, Sunil Kumar Kopparapu:
CNN based Parkinson's Disease Assessment using Empirical Mode Decomposition. CIKM (Workshops) 2020 - [c65]Ayush Triapthi, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Dementia Classification using Acoustic Descriptors Derived from Subsampled Signals. EUSIPCO 2020: 91-95 - [c64]Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu:
Improved Speaker Independent Dysarthria Intelligibility Classification Using Deepspeech Posteriors. ICASSP 2020: 6114-6118 - [c63]Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu:
A Novel Approach for Intelligibility Assessment in Dysarthric Subjects. ICASSP 2020: 6779-6783 - [c62]Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Deep Encoded Linguistic and Acoustic Cues for Attention Based End to End Speech Emotion Recognition. ICASSP 2020: 7189-7193 - [c61]Upasana Tiwari, Meet H. Soni, Rupayan Chakraborty, Ashish Panda, Sunil Kumar Kopparapu:
Multi-Conditioning and Data Augmentation Using Generative Noise Model for Speech Emotion Recognition in Noisy Conditions. ICASSP 2020: 7194-7198 - [c60]Ayush Tripathi, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios. ICPR 2020: 10650-10657 - [c59]Aditya Raikar, Karan Nathwani, Ashish Panda, Sunil Kumar Kopparapu:
Effect of Microphone Position Measurement Error on RIR and its Impact on Speech Intelligibility and Quality. INTERSPEECH 2020: 5056-5060 - [c58]Meghna Pandharipande, Upasana Tiwari, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Ranking Contact Center Conversations using Dynamic Programming based Pattern Matching. SMM 2020 - [d1]Sunil Kumar Kopparapu, Imran A. Sheikh, Venkata Krishna Thanneeru:
iNoise Indian Noise Database. IEEE DataPort, 2020 - [i25]Rupayan Chakraborty, Meghna Pandharipande, Chitralekha Bhat, Sunil Kumar Kopparapu:
Identification of Dementia Using Audio Biomarkers. CoRR abs/2002.12788 (2020) - [i24]Bhavik Vachhani, Chitralekha Bhat, Sunil Kumar Kopparapu:
Robust Phonetic Segmentation Using Spectral Transition measure for Non-Standard Recording Environments. CoRR abs/2004.14859 (2020)
2010 – 2019
- 2019
- [j10]Imran A. Sheikh, Balamallikarjuna Garlapati, Srinivas Chalamala, Sunil Kumar Kopparapu:
A Fuzzy Approach to Mute Sensitive Information in Noisy Audio Conversations. Computación y Sistemas 23(3) (2019) - [c57]Chitralekha Bhat, Sunil Kumar Kopparapu:
Identification of Alzheimer's Disease using Non-linguistic Audio Descriptors. EUSIPCO 2019: 1-5 - [c56]Meghna Pandharipande, Rupayan Chakraborty, Ashish Panda, Biswajit Das, Sunil Kumar Kopparapu:
Front-End Feature Compensation for Noise Robust Speech Emotion Recognition. EUSIPCO 2019: 1-5 - [c55]Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Improving ASR Robustness to Perturbed Speech Using Cycle-consistent Generative Adversarial Networks. ICASSP 2019: 5726-5730 - [c54]Swapnil Bhosale, Imran A. Sheikh, Sri Harsha Dumpala, Sunil Kumar Kopparapu:
End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios. INTERSPEECH 2019: 1188-1192 - [c53]Rupayan Chakraborty, Ashish Panda, Meghna Pandharipande, Sonal Joshi, Sunil Kumar Kopparapu:
Front-End Feature Compensation and Denoising for Noise Robust Speech Emotion Recognition. INTERSPEECH 2019: 3257-3261 - [c52]Meet H. Soni, Imran A. Sheikh, Sunil Kumar Kopparapu:
Label-Driven Time-Frequency Masking for Robust Speech Command Recognition. TSD 2019: 341-351 - [i23]Bansi Shah, Sunil Kumar Kopparapu:
A Deep Learning approach for Hindi Named Entity Recognition. CoRR abs/1911.01421 (2019) - [i22]Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications. CoRR abs/1912.11151 (2019) - 2018
- [b2]P. V. S. Rao, Sunil Kumar Kopparapu:
Friendly Interfaces Between Humans and Machines. Springer 2018, ISBN 978-981-13-1749-1, pp. 1-114 - [j9]Ishan Bhardwaj, Narendra D. Londhe, Sunil Kumar Kopparapu:
User attitude towards novel biometric system and usability analysis. Int. J. Biom. 10(3): 214-231 (2018) - [c51]Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Knowledge-Driven Feed-Forward Neural Network for Audio Affective Content Analysis. AAAI Workshops 2018: 16-20 - [c50]Chitralekha Bhat, Sunil Kumar Kopparapu:
FEMH Voice Data Challenge: Voice disorder Detection and Classification using Acoustic Descriptors. IEEE BigData 2018: 5233-5237 - [c49]Meghna Pandharipande, Rupayan Chakraborty, Ashish Panda, Sunil Kumar Kopparapu:
An Unsupervised frame Selection Technique for Robust Emotion Recognition in Noisy Speech. EUSIPCO 2018: 2055-2059 - [c48]Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios. IJCAI 2018: 2100-2106 - [c47]Chitralekha Bhat, Biswajit Das, Bhavik Vachhani, Sunil Kumar Kopparapu:
Dysarthric Speech Recognition Using Time-delay Neural Network Based Denoising Autoencoder. INTERSPEECH 2018: 451-455 - [c46]Bhavik Vachhani, Chitralekha Bhat, Sunil Kumar Kopparapu:
Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition. INTERSPEECH 2018: 471-475 - [c45]Sri Harsha Dumpala, Ashish Panda, Sunil Kumar Kopparapu:
Analysis of the Effect of Speech-Laugh on Speaker Recognition System. INTERSPEECH 2018: 1751-1755 - [c44]Meghna Pandharipande, Rupayan Chakraborty, Ashish Panda, Sunil Kumar Kopparapu:
Robust Front-End Processing For Emotion Recognition In Noisy Speech. ISCSLP 2018: 324-328 - [c43]Sri Harsha Dumpala, Imran A. Sheikh, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Sentiment Classification on Erroneous ASR Transcripts: A Multi View Learning Approach. SLT 2018: 807-814 - 2017
- [b1]Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu:
Analyzing Emotion in Spontaneous Speech. Springer 2017, ISBN 978-981-10-7673-2, pp. 1-81 - [j8]Ishan Bhardwaj, Narendra D. Londhe, Sunil Kumar Kopparapu:
Study of Imposter Attacks on Novel Fingerprint Dynamics Based Verification System. IEEE Access 5: 595-606 (2017) - [j7]Ishan Bhardwaj, Narendra D. Londhe, Sunil Kumar Kopparapu:
A spoof resistant multibiometric system based on the physiological and behavioral characteristics of fingerprint. Pattern Recognit. 62: 214-224 (2017) - [c42]Chitralekha Bhat, Bhavik Vachhani, Sunil Kumar Kopparapu:
Automatic assessment of dysarthria severity level using audio descriptors. ICASSP 2017: 5070-5074 - [c41]Sunil Kumar Kopparapu, C. Anantaram:
Correcting General Purpose ASR Errors using Posteriors. ICON 2017: 283-289 - [c40]Sri Harsha Dumpala, Sunil Kumar Kopparapu:
Improved speaker recognition system for stressed speech using deep neural networks. IJCNN 2017: 1257-1264 - [c39]Chitralekha Bhat, Anjali Kant, Bhavik Vachhani, Sarita Rautara, Ashok Kumar Sinha, Sunil Kumar Kopparapu:
MoPAReST - Mobile Phone Assisted Remote Speech Therapy Platform. INTERSPEECH 2017: 819-820 - [c38]Bhavik Vachhani, Chitralekha Bhat, Biswajit Das, Sunil Kumar Kopparapu:
Deep Autoencoder Based Speech Features for Improved Dysarthric Speech Recognition. INTERSPEECH 2017: 1854-1858 - [c37]Meghna Pandharipande, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Methods and challenges for creating an emotional audio-visual database. O-COCOSDA 2017: 1-6 - [c36]Bhavik Vachhani, Chitralekha Bhat, Sunil Kumar Kopparapu:
Phonetic Segmentation Using Knowledge from Visual and Perceptual Domain. TSD 2017: 393-401 - [i21]Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu:
k-FFNN: A priori knowledge infused Feed-forward Neural Networks. CoRR abs/1704.07055 (2017) - [i20]Sri Harsha Dumpala, Ashish Panda, Sunil Kumar Kopparapu:
Improved I-vector-based Speaker Recognition for Utterances with Speaker Generated Non-speech sounds. CoRR abs/1705.09289 (2017) - [i19]C. Anantaram, Sunil Kumar Kopparapu:
Adapting general-purpose speech recognition engine output for domain-specific natural language question answering. CoRR abs/1710.06923 (2017) - [i18]Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Novel Approach for Effective Learning in Low Resourced Scenarios. CoRR abs/1712.05608 (2017) - 2016
- [c35]Bhavik Vachhani, Chitralekha Bhat, Sunil Kumar Kopparapu:
Robust phonetic segmentation using multi-taper spectral estimation for noisy and clipped speech. EUSIPCO 2016: 1343-1347 - [c34]Sunil Kumar Kopparapu, Arijit De:
Automatic ranking of essays using structural and semantic features. ICACCI 2016: 519-523 - [c33]Ishan Bhardwaj, Narendra D. Londhe, Sunil Kumar Kopparapu:
Feature selection for novel fingerprint dynamics biometric technique based on PCA. ICACCI 2016: 1730-1734 - [c32]Rupayan Chakraborty, Sunil Kumar Kopparapu:
Improved speech emotion recognition using error correcting codes. ICME Workshops 2016: 1-6 - [c31]Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu:
Spontaneous speech emotion recognition using prior knowledge. ICPR 2016: 2866-2871 - [c30]C. Anantaram, Sunil Kumar Kopparapu, Chiragkumar Patel, Aditya Mittal:
Repairing General-Purpose ASR Output to Improve Accuracy of Spoken Sentences in Specific Domains Using Artificial Development Approach. IJCAI 2016: 4234-4235 - [c29]Chitralekha Bhat, Bhavik Vachhani, Sunil Kumar Kopparapu:
Recognition of Dysarthric Speech Using Voice Parameters for Speaker Adaptation and Multi-Taper Spectral Estimation. INTERSPEECH 2016: 228-232 - [c28]Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu:
Knowledge-based Framework for Intelligent Emotion Recognition in Spontaneous Speech. KES 2016: 587-596 - [c27]Rupayan Chakraborty, Meghna Pandharipande, Sunil Kumar Kopparapu:
Mining Call Center Conversations exhibiting Similar Affective States. PACLIC 2016 - [c26]Rupayan Chakraborty, Sunil Kumar Kopparapu:
Validating "Is ECC-ANN combination equivalent to DNN?" for speech emotion recognition. SMC 2016: 4311-4316 - [c25]Chitralekha Bhat, Bhavik Vachhani, Sunil Kumar Kopparapu:
Improving Recognition of Dysarthric Speech Using Severity Based Tempo Adaptation. SPECOM 2016: 370-377 - [i17]Vinod Kumar Pandey, Sunil Kumar Kopparapu:
Evaluating the Performance of a Speech Recognition based System. CoRR abs/1601.02543 (2016) - [i16]Vinod Kumar Pandey, Arun Pande, Sunil Kumar Kopparapu:
A Mobile Phone based Speech Therapist. CoRR abs/1601.02605 (2016) - 2015
- [c24]Chitralekha Bhat, Sunil Kumar Kopparapu:
Viseme comparison based on phonetic cues for varying speech accents. INTERSPEECH 2015: 3412-3416 - [c23]Rupayan Chakraborty, Avinash Kumar Maurya, Meghna Pandharipande, Ehtesham Hassan, Hiranmay Ghosh, Sunil Kumar Kopparapu:
TCS-ILAB - MediaEval 2015: Affective Impact of Movies and Violent Scene Detection. MediaEval 2015 - [c22]Chiragkumar Patel, Sunil Kumar Kopparapu:
A Multi-criteria Text Selection Approach for Building a Speech Corpus. TSD 2015: 15-22 - [i15]Lajish V. L., Sunil Kumar Kopparapu:
Online Handwritten Devanagari Stroke Recognition Using Extended Directional Features. CoRR abs/1501.02887 (2015) - [i14]Arijit De, Sunil Kumar Kopparapu:
A Rule-Based Short Query Intent Identification System. CoRR abs/1503.07284 (2015) - [i13]Sunil Kumar Kopparapu, Devanuj, Akhilesh Srivastava, P. V. S. Rao:
Knowledge driven Offline to Online Script Conversion. CoRR abs/1504.01420 (2015) - [i12]Sunil Kumar Kopparapu, Saurabh Bhatnagar, K. Sahana, Sathyanarayana, Akhilesh Srivastava, P. V. S. Rao:
A Metric to Classify Style of Spoken Speech. CoRR abs/1504.01427 (2015) - [i11]Lajish V. L., Sunil Kumar Kopparapu:
Mobile Phone Based Vehicle License Plate Recognition for Road Policing. CoRR abs/1504.01476 (2015) - [i10]Sunil Kumar Kopparapu, Lajish V. L.:
On-line Handwritten Devanagari Character Recognition using Fuzzy Directional Features. CoRR abs/1504.01488 (2015) - [i9]Sunil Kumar Kopparapu:
Voice based self help System: User Experience Vs Accuracy. CoRR abs/1504.01496 (2015) - 2014
- [c21]Chitralekha Bhat, Apeksha Chaplot, Anjali Kant, Sunil Kumar Kopparapu:
Digitization of Hindi photo articulation test for speech sound disorders. PervasiveHealth 2014: 210-213 - [c20]Nitin Mishra, Sunil Kumar Kopparapu:
Two Approaches for Mobile Phone Image Insignia Identification. SIRS 2014: 579-589 - [i8]Sapna Soni, Imran Ahmed, Sunil Kumar Kopparapu:
Automatic Segmentation of Broadcast News Audio using Self Similarity Matrix. CoRR abs/1403.6901 (2014) - [i7]Sunil Kumar Kopparapu, Laxmi Narayana M.:
Basis Identification for Automatic Creation of Pronunciation Lexicon for Proper Names. CoRR abs/1406.1280 (2014) - [i6]Sunil Kumar Kopparapu, Meghna Pandharipande, G. Sita:
Music and Vocal Separation Using Multi-Band Modulation Based Features. CoRR abs/1406.2464 (2014) - [i5]Sunil Kumar Kopparapu, M. Satish:
Optimal Gaussian Filter for Effective Noise Filtering. CoRR abs/1406.3172 (2014) - [i4]Laxmi Narayana M., Sunil Kumar Kopparapu:
Choice of Mel Filter Bank in Computing MFCC of a Resampled Speech. CoRR abs/1410.6903 (2014) - [i3]Laxmi Narayana M., Sunil Kumar Kopparapu:
On the use of Stress information in Speech for Speaker Recognition. CoRR abs/1410.6905 (2014) - [i2]Sunil Kumar Kopparapu, Lajish V. L.:
A Framework for On-Line Devanagari Handwritten Character Recognition. CoRR abs/1410.6909 (2014) - [i1]Kiran Kumar Bhuvanagiri, Sunil Kumar Kopparapu:
Modified Mel Filter Bank to Compute MFCC of Subsampled Speech. CoRR abs/1410.7382 (2014) - 2013
- [j6]Sunil Kumar Kopparapu, Kiran Kumar Bhuvanagiri:
Recognition of subsampled speech using a modified Mel filter bank. Comput. Electr. Eng. 39(2): 655-662 (2013) - [j5]Imran Ahmed, Meghna Pandharipande, Sunil Kumar Kopparapu:
SpeakRite: Monitoring Speaking Rate in Real Time on a Mobile Phone. Int. J. Mob. Hum. Comput. Interact. 5(1): 62-69 (2013) - [c19]Arijit De, Sunil Kumar Kopparapu:
Unsupervised clustering technique to harness ideas from an Ideas Portal. ICACCI 2013: 1563-1568 - [c18]Imran Ahmed, Sunil Kumar Kopparapu:
Technique for automatic sentence level alignment of long speech and transcripts. INTERSPEECH 2013: 1516-1519 - [c17]Chitralekha Bhat, Imran Ahmed, Vikram Saxena, Sunil Kumar Kopparapu:
Visual Subtitles for Internet Videos. SLPAT 2013: 17-20 - [c16]Imran Ahmed, Meghna Pandharipande, Sunil Kumar Kopparapu:
A suite of mobile applications to assist speaking at right speed. SLaTE 2013: 106-108 - [c15]Vikram Saxena, Sunil Kumar Kopparapu:
An Optimization Approach to Identify the Best Sell Market. UKSim 2013: 177-181 - 2011
- [c14]Vinod Kumar Pandey, Sunil Kumar Kopparapu:
Evaluating the Performance of a Speech Recognition Based System. ACC (3) 2011: 230-238 - [c13]Kiran Kumar Bhuvanagiri, Sunil Kumar Kopparapu:
Recognition of Subsampled Speech Using a Modified Mel Filter Bank. ACC (4) 2011: 293-299 - [c12]Imran Ahmed, Sunil Kumar Kopparapu:
Enhanced Quality of Experience through IVR Mashup to Access Same Service Multiple Operator Services. ACC (2) 2011: 317-326 - [c11]Sunil Kumar Kopparapu:
Readable Image for the Visually Impaired. HCI (8) 2011: 136-145 - 2010
- [j4]Hiranmay Ghosh, Sunil Kumar Kopparapu, Tanushyam Chattopadhyay, Ashish Khare, Sujal Subhash Wattamwar, Amarendra Gorai, Meghna Pandharipande:
Multimodal Indexing of Multilingual News Video. Int. J. Digit. Multim. Broadcast. 2010: 486487:1-486487:18 (2010) - [c10]Hiranmay Ghosh, Ashish Khare, Amarendra Gorai, Sunil Kumar Kopparapu, Meghna Pandharipande:
Indexing of multilingual news telecast using audio-visual keywords. EUVIP 2010: 66-70 - [c9]Sunil Kumar Kopparapu:
Evaluating Robustness of a Rule-Based System. IC-AI 2010: 255-260 - [c8]Sunil Kumar Kopparapu, Laxmi Narayana M.:
Choice of Mel filter bank in computing MFCC of a resampled speech. ISSPA 2010: 121-124
2000 – 2009
- 2009
- [c7]Sunil Kumar Kopparapu:
A robust speech biometric system for vehicle access. ICVES 2009: 174-177 - 2008
- [c6]Sunil Kumar Kopparapu:
Voice Based Self Help System: User Experience Vs Accuracy. SCSS (1) 2008: 101-105 - 2007
- [c5]Sunil Kumar Kopparapu, Akhilesh Srivastava, P. V. S. Rao:
Minimal Parsing Key Concept Based Question Answering System. HCI (3) 2007: 104-113 - [c4]Sunil Kumar Kopparapu, Akhilesh Srivastava, Arun Pande:
SMS based natural language interface to yellow pages directory. Mobility Conference 2007: 558-563 - 2006
- [j3]Sunil Kumar Kopparapu:
Lighting design for machine vision application. Image Vis. Comput. 24(7): 720-726 (2006) - 2001
- [j2]Sunil Kumar Kopparapu, Peter I. Corke:
The Effect of Noise on Camera Calibration Parameters. Graph. Model. 63(5): 277-303 (2001) - 2000
- [j1]Sunil Kumar Kopparapu, Uday B. Desai, Peter I. Corke:
Behaviour of image degradation model in multiresolution. Signal Process. 80(11): 2407-2420 (2000)
1990 – 1999
- 1999
- [c3]Sunil Kumar Kopparapu, Peter I. Corke:
The Effect of Measurement Noise on Intrinsic Camera Calibration Parameters. ICRA 1999: 1281-1286 - [c2]Sunil Kumar Kopparapu, Peter I. Corke:
Imaging model at different resolutions. ISSPA 1999: 785-788 - 1998
- [c1]Sunil Kumar Kopparapu, Peter I. Corke:
The Effect of Measurement Noise on Camera Calibration Matrix. IVCNZ 1998: 1-10
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-27 20:46 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
