Maarten Van Segbroeck

According to our database, Maarten Van Segbroeck authored at least 34 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Personalized Predictive ASR for Latency Reduction in Voice Assistants.

Andreas Schwarz, Di He, Maarten Van Segbroeck, Mohammed Hethnawi, Ariya Rastrow

CoRR, 2023

Transformer-Based Bioacoustic Sound Event Detection on Few-Shot Learning Tasks.

Liwen You, Erika Pelaez Coyotl, Suren Gunturu, Maarten Van Segbroeck

Proceedings of the IEEE International Conference on Acoustics, 2023

2020

Multi-view Frequency LSTM: An Efficient Frontend for Automatic Speech Recognition.

Maarten Van Segbroeck, Sri Harish Mallidi, Brian John King, I-Fan Chen, Gurpreet Chadha, Roland Maas

CoRR, 2020

DiPCo - Dinner Party Corpus.

Maarten Van Segbroeck, Ahmed Zaid, Ksenia Kutsenko, Cirenia Huerta, Tinh Nguyen, Xuewen Luo, Björn Hoffmeister, Jan Trmal, Maurizio Omologo, Roland Maas

Proceedings of the Interspeech 2020, 2020

Efficient Minimum Word Error Rate Training of RNN-Transducer for End-to-End Speech Recognition.

Jinxi Guo, Gautam Tiwari, Jasha Droppo, Maarten Van Segbroeck, Che-Wei Huang, Andreas Stolcke, Roland Maas

Proceedings of the Interspeech 2020, 2020

2016

Directly data-derived articulatory gesture-like representations retain discriminatory information about phone categories.

Vikram Ramanarayanan, Maarten Van Segbroeck, Shrikanth S. Narayanan

Comput. Speech Lang., 2016

2015

Rapid Language Identification.

Maarten Van Segbroeck, Ruchir Travadi, Shrikanth S. Narayanan

IEEE ACM Trans. Audio Speech Lang. Process., 2015

Automatic estimation of parkinson's disease severity from diverse speech tasks.

Jangwon Kim, Md. Nasir, Rahul Gupta, Maarten Van Segbroeck, Daniel Bone, Matthew P. Black, Zisis Iason Skordilis, Zhaojun Yang, Panayiotis G. Georgiou, Shrikanth S. Narayanan

Proceedings of the INTERSPEECH 2015, 2015

Automated evaluation of non-native English pronunciation quality: combining knowledge- and data-driven features at multiple time scales.

Matthew P. Black, Daniel Bone, Zisis Iason Skordilis, Rahul Gupta, Wei Xia, Pavlos Papadopoulos, Sandeep Nallan Chakravarthula, Bo Xiao, Maarten Van Segbroeck, Jangwon Kim, Panayiotis G. Georgiou, Shrikanth S. Narayanan

Proceedings of the INTERSPEECH 2015, 2015

Improvements to the IBM speech activity detection system for the DARPA RATS program.

Samuel Thomas, George Saon, Maarten Van Segbroeck, Shrikanth S. Narayanan

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions.

Rahul Gupta, Nikolaos Malandrakis, Bo Xiao, Tanaya Guha, Maarten Van Segbroeck, Matthew Black, Alexandros Potamianos, Shrikanth S. Narayanan

Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge, 2014

Affective Feature Design and Predicting Continuous Affective Dimensions from Music.

Naveen Kumar, Rahul Gupta, Tanaya Guha, Colin Vaz, Maarten Van Segbroeck, Jangwon Kim, Shrikanth S. Narayanan

Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

Modeling therapist empathy through prosody in drug addiction counseling.

Bo Xiao, Daniel Bone, Maarten Van Segbroeck, Zac E. Imel, David C. Atkins, Panayiotis G. Georgiou, Shrikanth S. Narayanan

Proceedings of the INTERSPEECH 2014, 2014

Modified-prior i-vector estimation for language identification of short duration utterances.

Ruchir Travadi, Maarten Van Segbroeck, Shrikanth S. Narayanan

Proceedings of the INTERSPEECH 2014, 2014

Classification of cognitive load from speech using an i-vector framework.

Maarten Van Segbroeck, Ruchir Travadi, Colin Vaz, Jangwon Kim, Matthew P. Black, Alexandros Potamianos, Shrikanth S. Narayanan

Proceedings of the INTERSPEECH 2014, 2014

UBM fused total variability modeling for language identification.

Maarten Van Segbroeck, Ruchir Travadi, Shrikanth S. Narayanan

Proceedings of the INTERSPEECH 2014, 2014

Comparing time-frequency representations for directional derivative features.

James Gibson, Maarten Van Segbroeck, Shrikanth S. Narayanan

Proceedings of the INTERSPEECH 2014, 2014

Robust language identification using convolutional neural network features.

Sriram Ganapathy, Kyu Jeong Han, Samuel Thomas, Mohamed Kamal Omar, Maarten Van Segbroeck, Shrikanth S. Narayanan

Proceedings of the INTERSPEECH 2014, 2014

Fusion of diverse denoising systems for robust automatic speech recognition.

Naveen Kumar, Maarten Van Segbroeck, Kartik Audhkhasi, Peter Drotár, Shrikanth S. Narayanan

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Multi-band long-term signal variability features for robust voice activity detection.

Andreas Tsiartas, Theodora Chaspari, Nassos Katsamanis, Prasanta Kumar Ghosh, Ming Li, Maarten Van Segbroeck, Alexandros Potamianos, Shrikanth S. Narayanan

Proceedings of the INTERSPEECH 2013, 2013

A robust frontend for VAD: exploiting contextual, discriminative and spectral cues of human voice.

Maarten Van Segbroeck, Andreas Tsiartas, Shrikanth S. Narayanan

Proceedings of the INTERSPEECH 2013, 2013

Spectro-temporal directional derivative features for automatic speech recognition.

James Gibson, Maarten Van Segbroeck, Antonio Ortega, Panayiotis G. Georgiou, Shrikanth S. Narayanan

Proceedings of the INTERSPEECH 2013, 2013

Classifying language-related developmental disorders from speech cues: the promise and the potential confounds.

Daniel Bone, Theodora Chaspari, Kartik Audhkhasi, James Gibson, Andreas Tsiartas, Maarten Van Segbroeck, Ming Li, Sungbok Lee, Shrikanth S. Narayanan

Proceedings of the INTERSPEECH 2013, 2013

A robust frontend for ASR: Combining denoising, noise masking and feature normalization.

Maarten Van Segbroeck, Shrikanth S. Narayanan

Proceedings of the IEEE International Conference on Acoustics, 2013

Speaker verification using simplified and supervised i-vector modeling.

Ming Li, Andreas Tsiartas, Maarten Van Segbroeck, Shrikanth S. Narayanan

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

A reranking approach for recognition and classification of speech input in conversational dialogue systems.

Fabrizio Morbini, Kartik Audhkhasi, Ron Artstein, Maarten Van Segbroeck, Kenji Sagae, Panayiotis G. Georgiou, David R. Traum, Shrikanth S. Narayanan

Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012

2011

Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition.

Maarten Van Segbroeck, Hugo Van hamme

IEEE Trans. Speech Audio Process., 2011

Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World Data.

Jort F. Gemmeke, Maarten Van Segbroeck, Yujun Wang, Bert Cranen, Hugo Van hamme

Proceedings of the Robust Speech Recognition of Uncertain or Missing Data, 2011

2009

Unsupervised learning of time-frequency patches as a noise-robust representation of speech.

Maarten Van Segbroeck, Hugo Van hamme

Speech Commun., 2009

Applying non-negative matrix factorization on time-frequency reassignment spectra for missing data mask estimation.

Maarten Van Segbroeck, Hugo Van hamme

Proceedings of the INTERSPEECH 2009, 2009

Application of noise robust MDT speech recognition on the SPEECON and speechdat-car databases.

Jort F. Gemmeke, Yujun Wang, Maarten Van Segbroeck, Bert Cranen, Hugo Van hamme

Proceedings of the INTERSPEECH 2009, 2009

2008

Robust speech recognition using missing data techniques in the prospect domain and fuzzy masks.

Maarten Van Segbroeck, Hugo Van hamme

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Vector-quantization based mask estimation for missing data automatic speech recognition.

Maarten Van Segbroeck, Hugo Van hamme

Proceedings of the INTERSPEECH 2007, 2007

2006

Handling convolutional noise in missing data automatic speech recognition.

Maarten Van Segbroeck, Hugo Van hamme

Proceedings of the INTERSPEECH 2006, 2006