Sudarsana Reddy Kadiri

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 66

Top Topics

Cepstral Coefficients

Feature Representation

Top Venues

Comput. Speech Lang.

Publications

Farhad Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku
A comparison of data augmentation methods in voice pathology detection. Comput. Speech Lang. 83 (2024)
Liangyu Nie, Sudarsana Reddy Kadiri, Ruchit Agrawal
MMSD-Net: Towards Multi-modal Stuttering Detection. CoRR (2024)
Farhad Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku
Pre-trained models for detection and severity level classification of dysarthria from speech. Speech Commun. 158 (2024)
Farhad Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku
Exploring the Impact of Fine-Tuning the Wav2vec2 Model in Database-Independent Detection of Dysarthric Speech. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Paavo Alku, Manila Kodali, Laura Laaksonen, Sudarsana Reddy Kadiri
AVID: A speech database for machine learning studies on vocal intensity. Speech Commun. 157 (2024)
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 (2024)
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) (2024)
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 (2024)
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 (2023)
Dhananjaya Gowda, Sudarsana Reddy Kadiri, Brad H. Story, Paavo Alku
Time-Varying Quasi-Closed-Phase Analysis for Accurate Formant Tracking in Speech Signals. CoRR (2023)
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 (2023)
Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku
Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features. INTERSPEECH (2023)
Saska Tirronen, Farhad Javanmardi, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Utilizing Wav2Vec In Database-Independent Voice Disorder Detection. ICASSP (2023)
Sudarsana Reddy Kadiri, Paavo Alku, B. Yegnanarayana
Analysis of Instantaneous Frequency Components of Speech Signals for Epoch Extraction. Comput. Speech Lang. 78 (2023)
Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku
Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features. CoRR (2023)
Farhad Javanmardi, Saska Tirronen, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Wav2vec-Based Detection and Severity Level Classification of Dysarthria From Speech. ICASSP (2023)
Farhad Javanmardi, Saska Tirronen, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Wav2vec-based Detection and Severity Level Classification of Dysarthria from Speech. CoRR (2023)
Sudarsana Reddy Kadiri, Paavo Alku
Analysis and Detection of Pathological Voice using Glottal Source Features. CoRR (2023)
Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Classification of Vocal Intensity Category from Speech using the Wav2vec2 and Whisper Embeddings. INTERSPEECH (2023)
Paavo Alku, Sudarsana Reddy Kadiri, Dhananjaya Gowda
Refining a deep learning-based formant tracker using linear prediction methods. Comput. Speech Lang. 81 (2023)
Manila Kodali, Sudarsana Reddy Kadiri, Laura Laaksonen, Paavo Alku
Automatic Classification of Vocal Intensity Category from Speech. ICASSP (2023)
Paavo Alku, Sudarsana Reddy Kadiri, Dhananjaya Gowda
Refining a Deep Learning-based Formant Tracker using Linear Prediction Methods. CoRR (2023)
Tamás Grósz, Dejan Porjazovski, Yaroslav Getman, Sudarsana Reddy Kadiri, Mikko Kurimo
Wav2vec2-based Paralinguistic Systems to Recognise Vocalised Emotions and Stuttering. ACM Multimedia (2022)
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) (2022)
Sudarsana Reddy Kadiri, Farhad Javanmardi, Paavo Alku
Convolutional Neural Networks for Classification of Voice Qualities from Speech and Neck Surface Accelerometer Signals. INTERSPEECH (2022)
Tamás Grósz, Mittul Singh, Sudarsana Reddy Kadiri, Hemant Kumar Kathania, Mikko Kurimo
End-to-end Ensemble-based Feature Selection for Paralinguistics Tasks. CoRR (2022)
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 (2022)
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)
Sudarsana Reddy Kadiri, Paavo Alku
Subjective Evaluation of Basic Emotions from Audio-Visual Data. Sensors 22 (13) (2022)
Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo
A formant modification method for improved ASR of children's speech. Speech Commun. 136 (2022)
Sudarsana Reddy Kadiri, Paavo Alku, Bayya Yegnanarayana
Extraction and Utilization of Excitation Information of Speech: A Review. Proc. IEEE 109 (12) (2021)
Sudarsana Reddy Kadiri, Paavo Alku
Glottal features for classification of phonation type from speech and neck surface accelerometer signals. Comput. Speech Lang. 70 (2021)
Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo
Spectral modification for recognition of children's speech undermismatched conditions. NoDaLiDa (2021)
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 (2021)
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) (2020)
Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo
Study of Formant Modification for Children ASR. ICASSP (2020)
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 (2020)
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 (2020)
Sudarsana Reddy Kadiri, Paavo Alku, B. Yegnanarayana
Analysis and classification of phonation types in speech and singing voice. Speech Commun. 118 (2020)
Rashmi Kethireddy, Sudarsana Reddy Kadiri, Suryakanth V. Gangashetty
Learning Filterbanks from Raw Waveform for Accent Classification. IJCNN (2020)
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) (2020)
Sudarsana Reddy Kadiri, Paavo Alku
Excitation Features of Speech for Speaker-Specific Emotion Detection. IEEE Access 8 (2020)
Sudarsana Reddy Kadiri, Paavo Alku, B. Yegnanarayana
Comparison of Glottal Closure Instants Detection Algorithms for Emotional Speech. ICASSP (2020)
Sudarsana Reddy Kadiri, Paavo Alku
Analysis and Detection of Pathological Voice Using Glottal Source Features. IEEE J. Sel. Top. Signal Process. 14 (2) (2020)
Rashmi Kethireddy, Sudarsana Reddy Kadiri, Santosh Kesiraju, Suryakanth V. Gangashetty
Zero-Time Windowing Cepstral Coefficients for Dialect Classification. Odyssey (2020)
Sudarsana Reddy Kadiri, Rashmi Kethireddy, Paavo Alku
Parkinson's Disease Detection from Speech Using Single Frequency Filtering Cepstral Coefficients. INTERSPEECH (2020)
Sushmita Thakallapalli, Sudarsana Reddy Kadiri, Suryakanth V. Gangashetty
Spectral Features derived from Single Frequency Filter for Multispeaker Localization. NCC (2020)
Rashmi Kethireddy, Sudarsana Reddy Kadiri, Paavo Alku, Suryakanth V. Gangashetty
Mel-Weighted Single Frequency Filtering Spectrogram for Dialect Identification. IEEE Access 8 (2020)
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 (2020)
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 (2020)
Sudarsana Reddy Kadiri, Paavo Alku
Mel-Frequency Cepstral Coefficients of Voice Source Waveforms for Classification of Phonation Types in Speech. INTERSPEECH (2019)
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 (2019)
Sudarsana Reddy Kadiri
A Quantitative Comparison of Epoch Extraction Algorithms for Telephone Speech. ICASSP (2019)
Sudarsana Reddy Kadiri, Bayya Yegnanarayana
Estimation of Fundamental Frequency from Singing Voice Using Harmonics of Impulse-like Excitation Source. INTERSPEECH (2018)
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)
Nivedita Chennupati, Sudarsana Reddy Kadiri, Bayya Yegnanarayana
Significance of phase in single frequency filtering outputs of speech signals. Speech Commun. 97 (2018)
RaviShankar Prasad, Sudarsana Reddy Kadiri, Suryakanth V. Gangashetty, Bayya Yegnanarayana
Discriminating Nasals and Approximants in English Language Using Zero Time Windowing. INTERSPEECH (2018)
Sudarsana Reddy Kadiri, Bayya Yegnanarayana
Breathy to Tense Voice Discrimination using Zero-Time Windowing Cepstral Coefficients (ZTWCCs). INTERSPEECH (2018)
Gunnam Aneeja, Sudarsana Reddy Kadiri, Bayya Yegnanarayana
Detection of Glottal Closure Instants in Degraded Speech Using Single Frequency Filtering Analysis. INTERSPEECH (2018)
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)
Sudarsana Reddy Kadiri, B. Yegnanarayana
Speech polarity detection using strength of impulse-like excitation extracted from speech epochs. ICASSP (2017)
Bhanu Teja Nellore, RaviShankar Prasad, Sudarsana Reddy Kadiri, Suryakanth V. Gangashetty, B. Yegnanarayana
Locating Burst Onsets Using SFF Envelope and Phase Information. INTERSPEECH (2017)
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)
Sudarsana Reddy Kadiri, B. Yegnanarayana
Epoch extraction from emotional speech using single frequency filtering approach. Speech Commun. 86 (2017)
Hari Krishna Vydana, Sudarsana Reddy Kadiri, Anil Kumar Vuppala
Vowel-Based Non-uniform Prosody Modification for Emotion Conversion. Circuits Syst. Signal Process. 35 (5) (2016)
Vishala Pannala, G. Aneeja, Sudarsana Reddy Kadiri, B. Yegnanarayana
Robust Estimation of Fundamental Frequency Using Single Frequency Filtering Approach. INTERSPEECH (2016)
Sudarsana Reddy Kadiri, B. Yegnanarayana
Analysis of singing voice for epoch extraction using Zero Frequency Filtering method. ICASSP (2015)
Sudarsana Reddy Kadiri, P. Gangamohan, Suryakanth V. Gangashetty, Bayya Yegnanarayana
Analysis of excitation source features of speech for emotion recognition. INTERSPEECH (2015)
Sudarsana Reddy Kadiri, P. Gangamohan, Vinay Kumar Mittal, B. Yegnanarayana
Naturalistic Audio-Visual Emotion Database. ICON (2014)
P. Gangamohan, Sudarsana Reddy Kadiri, Suryakanth V. Gangashetty, B. Yegnanarayana
Excitation source features for discrimination of anger and happy emotions. INTERSPEECH (2014)
Sudarsana Reddy Kadiri, P. Gangamohan, B. Yegnanarayana
Discriminating Neutral and Emotional Speech using Neural Networks. ICON (2014)
P. Gangamohan, Sudarsana Reddy Kadiri, B. Yegnanarayana
Analysis of emotional speech at subsegmental level. INTERSPEECH (2013)