| MUPET—mouse ultrasonic profile extraction: a signal processing tool for rapid and unsupervised analysis of ultrasonic vocalizations M Van Segbroeck, AT Knoll, P Levitt, S Narayanan Neuron 94 (3), 465-485. e5, 2017 | 133 | 2017 |
| Multimodal prediction of affective dimensions and depression in human-computer interactions R Gupta, N Malandrakis, B Xiao, T Guha, M Van Segbroeck, M Black, ... Proceedings of the 4th international workshop on audio/visual emotion …, 2014 | 118 | 2014 |
| A robust frontend for VAD: exploiting contextual, discriminative and spectral cues of human voice. M Van Segbroeck, A Tsiartas, SS Narayanan Interspeech, 704-708, 2013 | 77 | 2013 |
| Robust language identification using convolutional neural network features. S Ganapathy, KJ Han, S Thomas, MK Omar, M Van Segbroeck, ... Interspeech, 1846-1850, 2014 | 66 | 2014 |
| Modeling therapist empathy through prosody in drug addiction counseling B Xiao, D Bone, MV Segbroeck, ZE Imel, DC Atkins, PG Georgiou, ... Fifteenth annual conference of the international speech communication …, 2014 | 64 | 2014 |
| Classification of cognitive load from speech using an i-vector framework. M Van Segbroeck, R Travadi, C Vaz, J Kim, MP Black, A Potamianos, ... Interspeech, 751-755, 2014 | 63 | 2014 |
| Improvements to the IBM speech activity detection system for the DARPA RATS program S Thomas, G Saon, M Van Segbroeck, SS Narayanan IEEE International Conference on Audio, Speech and Signal Processing (ICASSP), 2015 | 62 | 2015 |
| Efficient minimum word error rate training of RNN-transducer for end-to-end speech recognition J Guo, G Tiwari, J Droppo, M Van Segbroeck, CW Huang, A Stolcke, ... arXiv preprint arXiv:2007.13802, 2020 | 53 | 2020 |
| A reranking approach for recognition and classification of speech input in conversational dialogue systems F Morbini, K Audhkhasi, R Artstein, M Van Segbroeck, K Sagae, ... 2012 IEEE Spoken Language Technology Workshop (SLT), 49-54, 2012 | 41 | 2012 |
| Multi-band long-term signal variability features for robust voice activity detection. A Tsiartas, T Chaspari, N Katsamanis, PK Ghosh, M Li, M Van Segbroeck, ... Interspeech, 718-722, 2013 | 39 | 2013 |
| Automatic estimation of parkinson's disease severity from diverse speech tasks. J Kim, M Nasir, R Gupta, M Van Segbroeck, D Bone, MP Black, ... Interspeech, 914-918, 2015 | 38 | 2015 |
| Advances in missing feature techniques for robust large-vocabulary continuous speech recognition M Van Segbroeck, H Van hamme Audio, Speech, and Language Processing, IEEE Transactions on 19 (1), 123-137, 2011 | 38 | 2011 |
| Modified-prior i-vector estimation for language identification of short duration utterances R Travadi, MV Segbroeck, SS Narayanan Fifteenth Annual Conference of the International Speech Communication …, 2014 | 37 | 2014 |
| Automated evaluation of non-native English pronunciation quality: combining knowledge-and data-driven features at multiple time scales MP Black, D Bone, ZI Skordilis, R Gupta, W Xia, P Papadopoulos, ... Sixteenth Annual Conference of the International Speech Communication …, 2015 | 35 | 2015 |
| Rapid Language Identification M Van Segbroeck, R Travadi, S Narayanan Audio, Speech, and Language Processing, IEEE Transactions on 23 (7), 1118 - 1129, 2015 | 33 | 2015 |
| DiPCo--Dinner Party Corpus M Van Segbroeck, A Zaid, K Kutsenko, C Huerta, T Nguyen, X Luo, ... arXiv preprint arXiv:1909.13447, 2019 | 30 | 2019 |
| Speaker verification using simplified and supervised i-vector modeling M Li, A Tsiartas, M Van Segbroeck, SS Narayanan 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 29 | 2013 |
| Classifying language-related developmental disorders from speech cues: the promise and the potential confounds. D Bone, T Chaspari, K Audhkhasi, J Gibson, A Tsiartas, M Van Segbroeck, ... INTERSPEECH 182, 186, 2013 | 29 | 2013 |
| Unsupervised learning of time–frequency patches as a noise-robust representation of speech M Van Segbroeck, H Van hamme Speech Communication 51 (11), 1124-1138, 2009 | 29 | 2009 |
| Robust speech recognition using missing data techniques in the prospect domain and fuzzy masks M Van Segbroeck 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 26 | 2008 |
Shrikanth (Shri) NarayananUniversity Professor and Niki & Max Nikias Chair in Engineering, University of Southern CaliforniaDirección de correo verificada de sipi.usc.edu
