| Arbitration between voice-enabled devices R Gopalan, SK Sundaram US Patent 10,026,399, 2018 | 409 | 2018 |
| Audio triggered commands MP Meaney, SK Sundaram US Patent 9,484,030, 2016 | 237 | 2016 |
| Feedback based beamformed signal selection S Sundaram, R Gopalan US Patent 9,734,822, 2017 | 194 | 2017 |
| Acoustic topic model for audio information retrieval S Kim, S Narayanan, S Sundaram 2009 IEEE Workshop on Applications of Signal Processing to Audio and …, 2009 | 78 | 2009 |
| Improving noise robustness of automatic speech recognition via parallel data and teacher-student learning L Mošner, M Wu, A Raju, SHK Parthasarathi, K Kumatani, S Sundaram, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 71 | 2019 |
| Exemplar-based processing for speech recognition: An overview TN Sainath, B Ramabhadran, D Nahamoo, D Kanevsky, ... IEEE Signal Processing Magazine 29 (6), 98-113, 2012 | 71 | 2012 |
| Automatic acoustic synthesis of human-like laughter S Sundaram, S Narayanan The Journal of the Acoustical Society of America 121 (1), 527-535, 2007 | 66 | 2007 |
| An overview on perceptually motivated audio indexing and classification G Richard, S Sundaram, S Narayanan Proceedings of the IEEE 101 (9), 1939-1954, 2013 | 65 | 2013 |
| Classification of sound clips by two schemes: Using onomatopoeia and semantic labels S Sundaram, S Narayanan 2008 IEEE International Conference on Multimedia and Expo, 1341-1344, 2008 | 59 | 2008 |
| Emotion classification in children's speech using fusion of acoustic and linguistic features T Polzehl, S Sundaram, H Ketabdar, M Wagner, F Metze Interspeech-2009, 340-343, 2009 | 58 | 2009 |
| Training strategies to handle missing modalities for audio-visual expression recognition S Parthasarathy, S Sundaram Companion Publication of the 2020 International Conference on Multimodal …, 2020 | 57 | 2020 |
| Neural network based beam selection SK Sundaram US Patent 9,972,339, 2018 | 54 | 2018 |
| Frequency domain multi-channel acoustic modeling for distant speech recognition W Minhua, K Kumatani, S Sundaram, N Ström, B Hoffmeister ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 51 | 2019 |
| An empirical text transformation method for spontaneous speech synthesizers. S Sundaram, SS Narayanan INTERSPEECH, 1221-1224, 2003 | 51 | 2003 |
| Self-supervised learning with cross-modal transformers for emotion recognition A Khare, S Parthasarathy, S Sundaram 2021 IEEE Spoken Language Technology Workshop (SLT), 381-388, 2021 | 47 | 2021 |
| Audio retrieval by latent perceptual indexing S Sundaram, S Narayanan 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 44 | 2008 |
| Multiresolution and multimodal speech recognition with transformers G Paraskevopoulos, S Parthasarathy, A Khare, S Sundaram arXiv preprint arXiv:2004.14840, 2020 | 43 | 2020 |
| Saliency-driven unstructured acoustic scene classification using latent perceptual indexing O Kalinli, S Sundaram, S Narayanan 2009 IEEE International Workshop on Multimedia Signal Processing, 1-6, 2009 | 43 | 2009 |
| Effect of nanoparticles on tensile, impact and fatigue properties of fibre reinforced plastics R Nagalingam, S Sundaram, B Stanly, J Retnam Bulletin of Materials Science 33, 525-528, 2010 | 34 | 2010 |
| Detecting expressions with multimodal transformers S Parthasarathy, S Sundaram 2021 IEEE Spoken Language Technology Workshop (SLT), 636-643, 2021 | 30 | 2021 |
