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Sudarsana Reddy Kadiri
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2020 – today
- 2024
- [j28]Manila Kodali
, Sudarsana Reddy Kadiri
, Paavo Alku
:
Automatic classification of the severity level of Parkinson's disease: A comparison of speaking tasks, features, and classifiers. Comput. Speech Lang. 83: 101548 (2024) - [j27]Sudarsana Reddy Kadiri
, Farhad Javanmardi, Paavo Alku
:
Investigation of self-supervised pre-trained models for classification of voice quality from speech and neck surface accelerometer signals. Comput. Speech Lang. 83: 101550 (2024) - [j26]Farhad Javanmardi
, Sudarsana Reddy Kadiri
, Paavo Alku
:
A comparison of data augmentation methods in voice pathology detection. Comput. Speech Lang. 83: 101552 (2024) - [j25]Hemant Kumar Kathania, Virender Kadyan, Sudarsana Reddy Kadiri
, Mikko Kurimo:
Spectral warping based data augmentation for low resource children's speaker verification. Multim. Tools Appl. 83(16): 48895-48906 (2024) - [j24]Paavo Alku
, Manila Kodali
, Laura Laaksonen, Sudarsana Reddy Kadiri
:
AVID: A speech database for machine learning studies on vocal intensity. Speech Commun. 157: 103039 (2024) - [j23]Farhad Javanmardi
, Sudarsana Reddy Kadiri
, Paavo Alku
:
Pre-trained models for detection and severity level classification of dysarthria from speech. Speech Commun. 158: 103047 (2024) - 2023
- [j22]Manuel Brandner
, Paul Armin Bereuter
, Sudarsana Reddy Kadiri
, Alois Sontacchi
:
Classification of Phonation Modes in Classical Singing Using Modulation Power Spectral Features. IEEE Access 11: 29149-29161 (2023) - [j21]Sudarsana Reddy Kadiri
, Paavo Alku
, B. Yegnanarayana
:
Analysis of Instantaneous Frequency Components of Speech Signals for Epoch Extraction. Comput. Speech Lang. 78: 101443 (2023) - [j20]Paavo Alku
, Sudarsana Reddy Kadiri
, Dhananjaya Gowda:
Refining a deep learning-based formant tracker using linear prediction methods. Comput. Speech Lang. 81: 101515 (2023) - [c33]Farhad Javanmardi, Saska Tirronen, Manila Kodali
, Sudarsana Reddy Kadiri
, Paavo Alku
:
Wav2vec-Based Detection and Severity Level Classification of Dysarthria From Speech. ICASSP 2023: 1-5 - [c32]Manila Kodali
, Sudarsana Reddy Kadiri
, Laura Laaksonen, Paavo Alku
:
Automatic Classification of Vocal Intensity Category from Speech. ICASSP 2023: 1-5 - [c31]Saska Tirronen, Farhad Javanmardi, Manila Kodali
, Sudarsana Reddy Kadiri
, Paavo Alku
:
Utilizing Wav2Vec In Database-Independent Voice Disorder Detection. ICASSP 2023: 1-5 - [c30]Sudarsana Reddy Kadiri
, Manila Kodali
, Paavo Alku
:
Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features. INTERSPEECH 2023: 2393-2397 - [c29]Manila Kodali
, Sudarsana Reddy Kadiri
, Paavo Alku
:
Classification of Vocal Intensity Category from Speech using the Wav2vec2 and Whisper Embeddings. INTERSPEECH 2023: 4134-4138 - [i9]Sudarsana Reddy Kadiri, Farhad Javanmardi, Paavo Alku:
Investigation of Self-supervised Pre-trained Models for Classification of Voice Quality from Speech and Neck Surface Accelerometer Signals. CoRR abs/2308.03226 (2023) - [i8]Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku:
Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features. CoRR abs/2308.09042 (2023) - [i7]Paavo Alku, Sudarsana Reddy Kadiri, Dhananjaya Gowda:
Refining a Deep Learning-based Formant Tracker using Linear Prediction Methods. CoRR abs/2308.09051 (2023) - [i6]Dhananjaya Gowda, Sudarsana Reddy Kadiri, Brad H. Story, Paavo Alku:
Time-Varying Quasi-Closed-Phase Analysis for Accurate Formant Tracking in Speech Signals. CoRR abs/2308.16540 (2023) - [i5]Sudarsana Reddy Kadiri, Paavo Alku:
Analysis and Detection of Pathological Voice using Glottal Source Features. CoRR abs/2309.14080 (2023) - [i4]Farhad Javanmardi, Saska Tirronen, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku:
Wav2vec-based Detection and Severity Level Classification of Dysarthria from Speech. CoRR abs/2309.14107 (2023) - 2022
- [j19]Sudarsana Reddy Kadiri
, Paavo Alku
:
Subjective Evaluation of Basic Emotions from Audio-Visual Data. Sensors 22(13): 4931 (2022) - [j18]Hemant Kumar Kathania
, Sudarsana Reddy Kadiri
, Paavo Alku
, Mikko Kurimo
:
A formant modification method for improved ASR of children's speech. Speech Commun. 136: 98-106 (2022) - [j17]Hemant Kumar Kathania
, Virender Kadyan, Sudarsana Reddy Kadiri
, Mikko Kurimo:
Data Augmentation Using Spectral Warping for Low Resource Children ASR. J. Signal Process. Syst. 94(12): 1507-1513 (2022) - [c28]Farhad Javanmardi, Sudarsana Reddy Kadiri
, Manila Kodali
, Paavo Alku
:
Comparing 1-dimensional and 2-dimensional spectral feature representations in voice pathology detection using machine learning and deep learning classifiers. INTERSPEECH 2022: 2173-2177 - [c27]Sudarsana Reddy Kadiri
, Farhad Javanmardi, Paavo Alku
:
Convolutional Neural Networks for Classification of Voice Qualities from Speech and Neck Surface Accelerometer Signals. INTERSPEECH 2022: 5253-5257 - [c26]Tamás Grósz
, Dejan Porjazovski, Yaroslav Getman, Sudarsana Reddy Kadiri
, Mikko Kurimo:
Wav2vec2-based Paralinguistic Systems to Recognise Vocalised Emotions and Stuttering. ACM Multimedia 2022: 7026-7029 - [i3]Dhananjaya Gowda, Bajibabu Bollepalli, Sudarsana Reddy Kadiri, Paavo Alku:
Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks. CoRR abs/2201.01525 (2022) - [i2]Tamás Grósz, Mittul Singh, Sudarsana Reddy Kadiri, Hemant Kumar Kathania, Mikko Kurimo:
End-to-end Ensemble-based Feature Selection for Paralinguistics Tasks. CoRR abs/2210.15978 (2022) - 2021
- [j16]Dhananjaya N. Gowda, Bajibabu Bollepalli, Sudarsana Reddy Kadiri
, Paavo Alku
:
Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks. IEEE Access 9: 151631-151640 (2021) - [j15]Sudarsana Reddy Kadiri
, Paavo Alku
:
Glottal features for classification of phonation type from speech and neck surface accelerometer signals. Comput. Speech Lang. 70: 101232 (2021) - [j14]Sudarsana Reddy Kadiri
, Paavo Alku
, Bayya Yegnanarayana
:
Extraction and Utilization of Excitation Information of Speech: A Review. Proc. IEEE 109(12): 1920-1941 (2021) - [c25]Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo:
Spectral modification for recognition of children's speech undermismatched conditions. NoDaLiDa 2021: 94-100 - 2020
- [j13]Sudarsana Reddy Kadiri
, Paavo Alku
:
Excitation Features of Speech for Speaker-Specific Emotion Detection. IEEE Access 8: 60382-60391 (2020) - [j12]Rashmi Kethireddy
, Sudarsana Reddy Kadiri
, Paavo Alku
, Suryakanth V. Gangashetty
:
Mel-Weighted Single Frequency Filtering Spectrogram for Dialect Identification. IEEE Access 8: 174871-174879 (2020) - [j11]Sudarsana Reddy Kadiri
, B. Yegnanarayana:
Determination of glottal closure instants from clean and telephone quality speech signals using single frequency filtering. Comput. Speech Lang. 64: 101097 (2020) - [j10]B. H. V. S. Narayana Murthy, B. Yegnanarayana
, Sudarsana Reddy Kadiri
:
Time Delay Estimation from Mixed Multispeaker Speech Signals Using Single Frequency Filtering. Circuits Syst. Signal Process. 39(4): 1988-2005 (2020) - [j9]Sudarsana Reddy Kadiri
, P. Gangamohan, Suryakanth V. Gangashetty, Paavo Alku
, B. Yegnanarayana
:
Excitation Features of Speech for Emotion Recognition Using Neutral Speech as Reference. Circuits Syst. Signal Process. 39(9): 4459-4481 (2020) - [j8]Sudarsana Reddy Kadiri
, Paavo Alku
:
Analysis and Detection of Pathological Voice Using Glottal Source Features. IEEE J. Sel. Top. Signal Process. 14(2): 367-379 (2020) - [j7]Sudarsana Reddy Kadiri
, RaviShankar Prasad, B. Yegnanarayana:
Detection of glottal closure instant and glottal open region from speech signals using spectral flatness measure. Speech Commun. 116: 30-43 (2020) - [j6]Sudarsana Reddy Kadiri
, Paavo Alku
, B. Yegnanarayana:
Analysis and classification of phonation types in speech and singing voice. Speech Commun. 118: 33-47 (2020) - [j5]Dhananjaya N. Gowda, Sudarsana Reddy Kadiri
, Brad H. Story, Paavo Alku
:
Time-Varying Quasi-Closed-Phase Analysis for Accurate Formant Tracking in Speech Signals. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1901-1914 (2020) - [c24]Sudarsana Reddy Kadiri
, Paavo Alku
, B. Yegnanarayana:
Comparison of Glottal Closure Instants Detection Algorithms for Emotional Speech. ICASSP 2020: 7379-7383 - [c23]Hemant Kumar Kathania, Sudarsana Reddy Kadiri
, Paavo Alku
, Mikko Kurimo:
Study of Formant Modification for Children ASR. ICASSP 2020: 7429-7433 - [c22]Rashmi Kethireddy, Sudarsana Reddy Kadiri
, Suryakanth V. Gangashetty:
Learning Filterbanks from Raw Waveform for Accent Classification. IJCNN 2020: 1-6 - [c21]Sudarsana Reddy Kadiri
, Rashmi Kethireddy, Paavo Alku
:
Parkinson's Disease Detection from Speech Using Single Frequency Filtering Cepstral Coefficients. INTERSPEECH 2020: 4971-4975 - [c20]Sushmita Thakallapalli, Sudarsana Reddy Kadiri
, Suryakanth V. Gangashetty
:
Spectral Features derived from Single Frequency Filter for Multispeaker Localization. NCC 2020: 1-6 - [c19]Rashmi Kethireddy, Sudarsana Reddy Kadiri
, Santosh Kesiraju, Suryakanth V. Gangashetty:
Zero-Time Windowing Cepstral Coefficients for Dialect Classification. Odyssey 2020: 32-38 - [i1]Tamás Grósz, Mittul Singh, Sudarsana Reddy Kadiri, Hemant Kumar Kathania, Mikko Kurimo:
Aalto's End-to-End DNN systems for the INTERSPEECH 2020 Computational Paralinguistics Challenge. CoRR abs/2008.02689 (2020)
2010 – 2019
- 2019
- [j4]Nivedita Chennupati, Sudarsana Reddy Kadiri
, B. Yegnanarayana:
Spectral and temporal manipulations of SFF envelopes for enhancement of speech intelligibility in noise. Comput. Speech Lang. 54: 86-105 (2019) - [c18]Sudarsana Reddy Kadiri
:
A Quantitative Comparison of Epoch Extraction Algorithms for Telephone Speech. ICASSP 2019: 6500-6504 - [c17]Sudarsana Reddy Kadiri
, Paavo Alku
:
Mel-Frequency Cepstral Coefficients of Voice Source Waveforms for Classification of Phonation Types in Speech. INTERSPEECH 2019: 2508-2512 - 2018
- [j3]Nivedita Chennupati, Sudarsana Reddy Kadiri
, Bayya Yegnanarayana:
Significance of phase in single frequency filtering outputs of speech signals. Speech Commun. 97: 66-72 (2018) - [c16]RaviShankar Prasad, Sudarsana Reddy Kadiri
, Suryakanth V. Gangashetty
, Bayya Yegnanarayana:
Discriminating Nasals and Approximants in English Language Using Zero Time Windowing. INTERSPEECH 2018: 177-181 - [c15]Sudarsana Reddy Kadiri
, Bayya Yegnanarayana:
Breathy to Tense Voice Discrimination using Zero-Time Windowing Cepstral Coefficients (ZTWCCs). INTERSPEECH 2018: 232-236 - [c14]Sudarsana Reddy Kadiri
, Bayya Yegnanarayana:
Analysis and Detection of Phonation Modes in Singing Voice using Excitation Source Features and Single Frequency Filtering Cepstral Coefficients (SFFCC). INTERSPEECH 2018: 441-445 - [c13]Gunnam Aneeja, Sudarsana Reddy Kadiri
, Bayya Yegnanarayana:
Detection of Glottal Closure Instants in Degraded Speech Using Single Frequency Filtering Analysis. INTERSPEECH 2018: 2300-2304 - [c12]Sudarsana Reddy Kadiri
, Bayya Yegnanarayana:
Estimation of Fundamental Frequency from Singing Voice Using Harmonics of Impulse-like Excitation Source. INTERSPEECH 2018: 2319-2323 - 2017
- [j2]Sudarsana Reddy Kadiri
, B. Yegnanarayana:
Epoch extraction from emotional speech using single frequency filtering approach. Speech Commun. 86: 52-63 (2017) - [c11]Sudarsana Reddy Kadiri
, B. Yegnanarayana:
Speech polarity detection using strength of impulse-like excitation extracted from speech epochs. ICASSP 2017: 5610-5614 - [c10]K. N. R. K. Raju Alluri, Sivanand Achanta, Sudarsana Reddy Kadiri
, Suryakanth V. Gangashetty
, Anil Kumar Vuppala:
SFF Anti-Spoofer: IIIT-H Submission for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2017. INTERSPEECH 2017: 107-111 - [c9]K. N. R. K. Raju Alluri, Sivanand Achanta, Sudarsana Reddy Kadiri
, Suryakanth V. Gangashetty
, Anil Kumar Vuppala:
Detection of Replay Attacks Using Single Frequency Filtering Cepstral Coefficients. INTERSPEECH 2017: 2596-2600 - [c8]Bhanu Teja Nellore, RaviShankar Prasad, Sudarsana Reddy Kadiri
, Suryakanth V. Gangashetty
, B. Yegnanarayana:
Locating Burst Onsets Using SFF Envelope and Phase Information. INTERSPEECH 2017: 3023-3027 - 2016
- [j1]Hari Krishna Vydana, Sudarsana Reddy Kadiri
, Anil Kumar Vuppala:
Vowel-Based Non-uniform Prosody Modification for Emotion Conversion. Circuits Syst. Signal Process. 35(5): 1643-1663 (2016) - [c7]Vishala Pannala
, G. Aneeja, Sudarsana Reddy Kadiri
, B. Yegnanarayana:
Robust Estimation of Fundamental Frequency Using Single Frequency Filtering Approach. INTERSPEECH 2016: 2155-2159 - [p1]P. Gangamohan
, Sudarsana Reddy Kadiri
, B. Yegnanarayana:
Analysis of Emotional Speech - A Review. Toward Robotic Socially Believable Behaving Systems (I) 2016: 205-238 - 2015
- [c6]Sudarsana Reddy Kadiri
, B. Yegnanarayana:
Analysis of singing voice for epoch extraction using Zero Frequency Filtering method. ICASSP 2015: 4260-4264 - [c5]Sudarsana Reddy Kadiri, P. Gangamohan, Suryakanth V. Gangashetty, Bayya Yegnanarayana:
Analysis of excitation source features of speech for emotion recognition. INTERSPEECH 2015: 1324-1328 - 2014
- [c4]Sudarsana Reddy Kadiri, P. Gangamohan, Vinay Kumar Mittal, B. Yegnanarayana:
Naturalistic Audio-Visual Emotion Database. ICON 2014: 206-213 - [c3]Sudarsana Reddy Kadiri, P. Gangamohan, B. Yegnanarayana:
Discriminating Neutral and Emotional Speech using Neural Networks. ICON 2014: 214-221 - [c2]P. Gangamohan, Sudarsana Reddy Kadiri
, Suryakanth V. Gangashetty, B. Yegnanarayana:
Excitation source features for discrimination of anger and happy emotions. INTERSPEECH 2014: 1253-1257 - 2013
- [c1]P. Gangamohan, Sudarsana Reddy Kadiri
, B. Yegnanarayana:
Analysis of emotional speech at subsegmental level. INTERSPEECH 2013: 1916-1920
Coauthor Index
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last updated on 2024-08-05 20:16 CEST by the dblp team
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