| TCS-ILAB-MediaEval 2015: Affective Impact of Movies and Violent Scene Detection. R Chakraborty, AK Maurya, M Pandharipande, E Hassan, H Ghosh, ... MediaEval 1436, 2015 | 23 | 2015 |
| Analyzing emotion in spontaneous speech R Chakraborty, M Pandharipande, SK Kopparapu Springer Singapore, 2017 | 19 | 2017 |
| Knowledge-based framework for intelligent emotion recognition in spontaneous speech R Chakraborty, M Pandharipande, SK Kopparapu Procedia Computer Science 96, 587-596, 2016 | 19 | 2016 |
| Multimodal indexing of multilingual news video H Ghosh, SK Kopparapu, T Chattopadhyay, A Khare, SS Wattamwar, ... International Journal of Digital Multimedia Broadcasting 2010, 2010 | 17 | 2010 |
| An unsupervised frame selection technique for robust emotion recognition in noisy speech M Pandharipande, R Chakraborty, A Panda, SK Kopparapu 2018 26th European signal processing conference (EUSIPCO), 2055-2059, 2018 | 15 | 2018 |
| A novel approach to identify problematic call center conversations MA Pandharipande, SK Kopparapu 2012 Ninth International Conference on Computer Science and Software …, 2012 | 15 | 2012 |
| Identification of dementia using audio biomarkers R Chakraborty, M Pandharipande, C Bhat, SK Kopparapu arXiv preprint arXiv:2002.12788, 2020 | 14 | 2020 |
| Front-End Feature Compensation and Denoising for Noise Robust Speech Emotion Recognition. R Chakraborty, A Panda, M Pandharipande, S Joshi, SK Kopparapu INTERSPEECH, 3257-3261, 2019 | 12 | 2019 |
| Robust front-end processing for emotion recognition in noisy speech M Pandharipande, R Chakraborty, A Panda, SK Kopparapu 2018 11th International Symposium on Chinese Spoken Language Processing …, 2018 | 12 | 2018 |
| System and method for monitoring a voice in real time S Kopparapu, MA Pandharipande US Patent 8,861,708, 2014 | 11 | 2014 |
| Mining call center conversations exhibiting similar affective states R Chakraborty, M Pandharipande, SK Kopparapu Proceedings of the 30th Pacific Asia Conference on Language, Information and …, 2016 | 10 | 2016 |
| Music and vocal separation using multiband modulation based features SK Kopparapu, MA Pandharipande, G Sita 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA), 733-737, 2010 | 9 | 2010 |
| Spontaneous speech emotion recognition using prior knowledge R Chakraborty, M Pandharipande, SK Kopparapu 2016 23rd International Conference on Pattern Recognition (ICPR), 2866-2871, 2016 | 8 | 2016 |
| Event based emotion recognition for realistic non-acted speech R Chakraborty, M Pandharipande, S Kopparapu TENCON 2015-2015 IEEE Region 10 Conference, 1-5, 2015 | 8 | 2015 |
| Real time speaking rate monitoring system MA Pandharipande, SK Kopparapu 2011 IEEE International Conference on Signal Processing, Communications and …, 2011 | 8 | 2011 |
| Audio segmentation based approach for improved emotion recognition MA Pandharipande, SK Kopparapu TENCON 2015-2015 IEEE Region 10 Conference, 1-4, 2015 | 6 | 2015 |
| Identification of dementia using audio biomarkers, 2020 R Chakraborty, M Pandharipande, C Bhat, SK Kopparapu URL: https://arxiv. org/abs/2002.12788 10, 2002 | 5 | 2002 |
| A language independent approach to identify problematic conversations in call centers MA Pandharipande, SK Kopparapu ECTI Transactions on Computer and Information Technology (ECTI-CIT) 7 (2 …, 2013 | 4 | 2013 |
| Speakrite: Monitoring speaking rate in real time on a mobile phone A Imran, M Pandharipande, SK Kopparapu International Journal of Mobile Human Computer Interaction (IJMHCI) 5 (1), 62-69, 2013 | 4 | 2013 |
| Improved language models for ASR using written language text K Mukherji, M Pandharipande, SK Kopparapu 2022 National Conference on Communications (NCC), 362-366, 2022 | 3 | 2022 |
Sunil Kumar KopparapuPrincipal Scientist, TCS ResearchVerified email at tcs.com
