Automatic intelligibility classification of sentence-level pathological speech J Kim, N Kumar, A Tsiartas, M Li, SS Narayanan Computer speech & language 29 (1), 132-144, 2015 | 100 | 2015 |
Enhanced airway-tissue boundary segmentation for real-time magnetic resonance imaging data J Kim, N Kumar, S Lee, S Narayanan International Seminar on Speech Production (ISSP), 222-225, 2014 | 66 | 2014 |
Pathological speech processing: State-of-the-art, current challenges, and future directions R Gupta, T Chaspari, J Kim, N Kumar, D Bone, S Narayanan 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 55 | 2016 |
Robust object classification in underwater sidescan sonar images by using reliability-aware fusion of shadow features N Kumar, U Mitra, SS Narayanan IEEE Journal of oceanic engineering 40 (3), 592-606, 2014 | 48 | 2014 |
A multimodal mixture-of-experts model for dynamic emotion prediction in movies A Goyal, N Kumar, T Guha, SS Narayanan 2016 ieee international conference on acoustics, speech and signal …, 2016 | 39 | 2016 |
Object classification in sidescan sonar images with sparse representation techniques N Kumar, QF Tan, SS Narayanan 2012 IEEE international conference on acoustics, speech and signal …, 2012 | 33 | 2012 |
Computational media intelligence: Human-centered machine analysis of media K Somandepalli, T Guha, VR Martinez, N Kumar, H Adam, S Narayanan Proceedings of the IEEE 109 (5), 891-910, 2021 | 32 | 2021 |
Intelligibility classification of pathological speech using fusion of multiple high level descriptors J Kim, N Kumar, A Tsiartas, M Li, S Narayanan Thirteenth annual conference of the international speech communication …, 2012 | 31 | 2012 |
Computationally deconstructing movie narratives: an informatics approach T Guha, N Kumar, SS Narayanan, SL Smith 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 27 | 2015 |
Gender representation in cinematic content: A multimodal approach T Guha, CW Huang, N Kumar, Y Zhu, SS Narayanan Proceedings of the 2015 ACM on International Conference on Multimodal …, 2015 | 26 | 2015 |
Hierarchy-aware loss function on a tree structured label space for audio event detection A Jati, N Kumar, R Chen, P Georgiou ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 25 | 2019 |
A deep reinforcement learning framework for Identifying funny scenes in movies H Li, N Kumar, R Chen, P Georgiou 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 25 | 2018 |
Unsupervised discovery of character dictionaries in animation movies K Somandepalli, N Kumar, T Guha, SS Narayanan IEEE Transactions on Multimedia 20 (3), 539-551, 2017 | 22 | 2017 |
Affective Feature Design and Predicting Continuous Affective Dimensions from Music. N Kumar, R Gupta, T Guha, C Vaz, M Van Segbroeck, J Kim, ... MediaEval, 2014 | 20 | 2014 |
Multi-Task Discriminative Training of Hybrid DNN-TVM Model for Speaker Verification with Noisy and Far-Field Speech. A Jati, R Peri, M Pal, TJ Park, N Kumar, R Travadi, PG Georgiou, ... Interspeech, 2463-2467, 2019 | 15 | 2019 |
Opening big in box office? Trailer content can help A Tadimari, N Kumar, T Guha, SS Narayanan 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 13 | 2016 |
Directional descriptors using Zernike moment phases for object orientation estimation in underwater sonar images N Kumar, AC Lammert, B Englot, FS Hover, SS Narayanan 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 13 | 2011 |
Active target localization using low-rank matrix completion and unimodal regression S Choudhary, N Kumar, S Narayanan, U Mitra arXiv preprint arXiv:1601.07254, 2016 | 11 | 2016 |
Robust Multichannel Gender Classification from Speech in Movie Audio. N Kumar, M Nasir, PG Georgiou, SS Narayanan Interspeech, 2233-2237, 2016 | 11 | 2016 |
Multimodal representation of advertisements using segment-level autoencoders K Somandepalli, V Martinez, N Kumar, S Narayanan Proceedings of the 20th ACM International Conference on Multimodal …, 2018 | 10 | 2018 |