| Audio-Visual Fusion for Sentiment Classification using Cross-Modal Autoencoder SH Dumpala, I Sheikh, R Chakraborty, SK Kopparapu NeurIPS Workshop on ViGIL, 2018 | 45 | 2018 |
| A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios. SH Dumpala, R Chakraborty, SK Kopparapu IJCAI, 2100-2106, 2018 | 32 | 2018 |
| End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios. S Bhosale, IA Sheikh, SH Dumpala, SK Kopparapu Interspeech, 1188-1192, 2019 | 31 | 2019 |
| An algorithm for detection of breath sounds in spontaneous speech with application to speaker recognition SH Dumpala, KR Alluri Speech and Computer: 19th International Conference, SPECOM 2017, Hatfield …, 2017 | 27 | 2017 |
| Analysis of laughter and speech-laugh signals using excitation source information SH Dumpala, KV Sridaran, SV Gangashetty, B Yegnanarayana. ICASSP, 975-979, 2014 | 27 | 2014 |
| Estimating severity of depression from acoustic features and embeddings of natural speech SH Dumpala, S Rempel, K Dikaios, M Sajjadian, R Uher, S Oore ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 25 | 2021 |
| Improved speaker recognition system for stressed speech using deep neural networks SH Dumpala, SK Kopparapu 2017 International Joint Conference on Neural Networks (IJCNN), 1257-1264, 2017 | 23 | 2017 |
| Detecting Depression With a Temporal Context Of Speaker Embeddings SH Dumpala, S Rodriguez, S Rempel, M Sajjadian, R Uher, S Oore SAS workshop, AAAI-2022, 2022 | 20* | 2022 |
| Cycle-Consistent GAN Front-end to Improve ASR Robustness to Perturbed Speech SH Dumpala, I Sheikh, R Chakraborty, SK Kopparapu NeurIPS 2018 IRASL workshop, 2018 | 17* | 2018 |
| Sentiment analysis using imperfect views from spoken language and acoustic modalities I Sheikh, SH Dumpala, R Chakraborty, SK Kopparapu Proceedings of grand challenge and workshop on human multimodal language …, 2018 | 16 | 2018 |
| Analysis of constraints on segmental DTW for the task of query-by-example spoken term detection SH Dumpala, KR Alluri, SV Gangashetty, AK Vuppala 2015 annual IEEE India conference (INDICON), 1-6, 2015 | 15 | 2015 |
| Manifestation of depression in speech overlaps with characteristics used to represent and recognize speaker identity SH Dumpala, K Dikaios, S Rodriguez, R Langley, S Rempel, R Uher, ... Nature Scientific Reports 13 (1), 11155, 2023 | 13 | 2023 |
| Applications of speech analysis in psychiatry K Dikaios, S Rempel, SH Dumpala, S Oore, M Kiefte, R Uher Harvard Review of Psychiatry 31 (1), 1-13, 2023 | 13 | 2023 |
| Knowledge-driven feed-forward neural network for audio affective content analysis SH Dumpala, R Chakraborty, SK Kopparapu Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 13* | 2018 |
| Sine-Wave Speech and Privacy-Preserving Depression Detection SH Dumpala, R Uher, S Matwin, M Kiefte, S Oore Proc. SMM21, Workshop on Speech, Music and Mind 2021, 11-15, 2021 | 12 | 2021 |
| Analysis of the Effect of Speech-Laugh on Speaker Recognition System. SH Dumpala, A Panda, SK Kopparapu Interspeech, 1751-1755, 2018 | 11* | 2018 |
| Robust Vowel Landmark Detection Using Epoch-Based Features. SH Dumpala, BT Nellore, RR Nevali, SV Gangashetty, B Yegnanarayana interspeech, 160-164, 2016 | 8 | 2016 |
| On Combining Global and Localized Self-Supervised Models of Speech SH Dumpala, CS Sastry, R Uher, S Oore First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at …, 2022 | 7 | 2022 |
| Use of Vowels in Discriminating Speech-Laugh from Laughter and Neutral Speech. SH Dumpala, P Gangamohan, SV Gangashetty, B Yegnanarayana INTERSPEECH, 1437-1441, 2016 | 7 | 2016 |
| Robust features for sonorant segmentation in continuous speech. SH Dumpala, BT Nellore, RR Nevali, SV Gangashetty, B Yegnanarayana INTERSPEECH, 1987-1991, 2015 | 7 | 2015 |
Sunil Kumar KopparapuPrincipal Scientist, TCS ResearchVerified email at tcs.com
