Maarten Van Segbroeck
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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
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
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
Robust language identification using convolutional neural network features.
S Ganapathy, KJ Han, S Thomas, MK Omar, M Van Segbroeck, ...
Interspeech, 1846-1850, 2014
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
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
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
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
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
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
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
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
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
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
DiPCo--Dinner Party Corpus
M Van Segbroeck, A Zaid, K Kutsenko, C Huerta, T Nguyen, X Luo, ...
arXiv preprint arXiv:1909.13447, 2019
Rapid Language Identification
M Van Segbroeck, R Travadi, S Narayanan
Audio, Speech, and Language Processing, IEEE Transactions on 23 (7), 1118 - 1129, 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
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
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
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
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