Maarten Van Segbroeck
Title
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Cited by
Year
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
842014
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
732017
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
642013
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
542015
Robust language identification using convolutional neural network features
S Ganapathy, K Han, S Thomas, M Omar, MV Segbroeck, SS Narayanan
Fifteenth annual conference of the international speech communication …, 2014
522014
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
482014
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
382014
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
372011
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
362012
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
332013
Automatic estimation of Parkinson's disease severity from diverse speech tasks
J Kim, M Nasir, R Gupta, MV Segbroeck, D Bone, MP Black, ZI Skordilis, ...
Sixteenth Annual Conference of the International Speech Communication …, 2015
322015
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
322014
Rapid Language Identification
M Van Segbroeck, R Travadi, S Narayanan
Audio, Speech, and Language Processing, IEEE Transactions on 23 (7), 1118 - 1129, 2015
292015
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
272013
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
262015
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
262009
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
242008
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
222013
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
192020
Vector-Quantization based Mask Estimation for Missing Data Automatic Speech Recognition
M Van Segbroeck, H Van Hamme
In Proc. International Conference on Spoken Language Processing, 910–913, 2007
172007
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Articles 1–20