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 | 155 | 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 | 129 | 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 | 84 | 2013 |
Robust language identification using convolutional neural network features. S Ganapathy, KJ Han, S Thomas, MK Omar, M Van Segbroeck, ... Interspeech, 1846-1850, 2014 | 70 | 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 | 67 | 2015 |
Modeling therapist empathy through prosody in drug addiction counseling. B Xiao, D Bone, M Van Segbroeck, ZE Imel, DC Atkins, PG Georgiou, ... INTERSPEECH, 213-217, 2014 | 67 | 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 | 65 | 2014 |
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 | 57 | 2020 |
DiPCo--Dinner Party Corpus M Van Segbroeck, A Zaid, K Kutsenko, C Huerta, T Nguyen, X Luo, ... arXiv preprint arXiv:1909.13447, 2019 | 49 | 2019 |
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 | 43 | 2012 |
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 | 40 | 2015 |
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 | 40 | 2013 |
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 | 40 | 2011 |
Modified-prior i-vector estimation for language identification of short duration utterances. R Travadi, M Van Segbroeck, SS Narayanan Interspeech, 3037-3041, 2014 | 38 | 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, ... INTERSPEECH, 493-497, 2015 | 37 | 2015 |
Rapid Language Identification M Van Segbroeck, R Travadi, S Narayanan Audio, Speech, and Language Processing, IEEE Transactions on 23 (7), 1118 - 1129, 2015 | 34 | 2015 |
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 | 30 | 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 | 30 | 2009 |
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 |
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 | 25 | 2008 |