default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSudarsana Reddy Kadiri
Sudarsana Kadiri
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j29]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)- [j28]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) - [j27]Farhad Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku:
A comparison of data augmentation methods in voice pathology detection. Comput. Speech Lang. 83: 101552 (2024) - [j26]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) - [j25]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) - [j24]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) - [j23]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): 4951-4962 (2024) - [i13]Jihwan Lee, Aditya Kommineni, Tiantian Feng, Kleanthis Avramidis, Xuan Shi, Sudarsana Kadiri, Shrikanth Narayanan:
Toward Fully-End-to-End Listened Speech Decoding from EEG Signals. CoRR abs/2406.08644 (2024) - [i12]Liangyu Nie, Sudarsana Reddy Kadiri, Ruchit Agrawal:
MMSD-Net: Towards Multi-modal Stuttering Detection. CoRR abs/2407.11492 (2024) - [i11]Aditya Kommineni, Digbalay Bose, Tiantian Feng, So Hyun Kim, Helen Tager-Flusberg, Somer Bishop, Catherine Lord, Sudarsana Kadiri, Shrikanth Narayanan:
Towards Child-Inclusive Clinical Video Understanding for Autism Spectrum Disorder. CoRR abs/2409.13606 (2024) - [i10]Aditya Ashvin, Rimita Lahiri, Aditya Kommineni, Somer Bishop, Catherine Lord, Sudarsana Reddy Kadiri, Shrikanth Narayanan:
Evaluation of state-of-the-art ASR Models in Child-Adult Interactions. CoRR abs/2409.16135 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. 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 Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
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 2024-10-23 21:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
