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ORCIDMaarten Van Segbroeck
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2020 – today
- 2023
[c28]Liwen You, Erika Pelaez Coyotl, Suren Gunturu, Maarten Van Segbroeck:
Transformer-Based Bioacoustic Sound Event Detection on Few-Shot Learning Tasks. ICASSP 2023: 1-5- [c27]Andreas Schwarz, Di He, Maarten Van Segbroeck, Mohammed Hethnawi, Ariya Rastrow:
Personalized Predictive ASR for Latency Reduction in Voice Assistants. INTERSPEECH 2023: 745-749 - [i4]Andreas Schwarz, Di He, Maarten Van Segbroeck, Mohammed Hethnawi, Ariya Rastrow:
Personalized Predictive ASR for Latency Reduction in Voice Assistants. CoRR abs/2305.13794 (2023) - 2020
- [c26]Maarten Van Segbroeck, Ahmed Zaid, Ksenia Kutsenko, Cirenia Huerta, Tinh Nguyen, Xuewen Luo, Björn Hoffmeister, Jan Trmal, Maurizio Omologo, Roland Maas:
DiPCo - Dinner Party Corpus. INTERSPEECH 2020: 434-436 - [c25]Jinxi Guo, Gautam Tiwari, Jasha Droppo, Maarten Van Segbroeck, Che-Wei Huang, Andreas Stolcke, Roland Maas:
Efficient Minimum Word Error Rate Training of RNN-Transducer for End-to-End Speech Recognition. INTERSPEECH 2020: 2807-2811 - [i3]Maarten Van Segbroeck, Sri Harish Mallidi, Brian John King, I-Fan Chen, Gurpreet Chadha, Roland Maas:
Multi-view Frequency LSTM: An Efficient Frontend for Automatic Speech Recognition. CoRR abs/2007.00131 (2020) - [i2]Jinxi Guo, Gautam Tiwari, Jasha Droppo, Maarten Van Segbroeck, Che-Wei Huang, Andreas Stolcke, Roland Maas:
Efficient minimum word error rate training of RNN-Transducer for end-to-end speech recognition. CoRR abs/2007.13802 (2020)
2010 – 2019
- 2019
- [i1]Maarten Van Segbroeck, Ahmed Zaid, Ksenia Kutsenko, Cirenia Huerta, Tinh Nguyen, Xuewen Luo, Björn Hoffmeister, Jan Trmal, Maurizio Omologo, Roland Maas:
DiPCo - Dinner Party Corpus. CoRR abs/1909.13447 (2019) - 2016
- [j4]Vikram Ramanarayanan, Maarten Van Segbroeck, Shrikanth S. Narayanan:
Directly data-derived articulatory gesture-like representations retain discriminatory information about phone categories. Comput. Speech Lang. 36: 330-346 (2016) - 2015
- [j3]Maarten Van Segbroeck, Ruchir Travadi, Shrikanth S. Narayanan:
Rapid Language Identification. IEEE ACM Trans. Audio Speech Lang. Process. 23(7): 1118-1129 (2015) - [c24]Samuel Thomas, George Saon
, Maarten Van Segbroeck, Shrikanth S. Narayanan:
Improvements to the IBM speech activity detection system for the DARPA RATS program. ICASSP 2015: 4500-4504 - [c23]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:
Automated evaluation of non-native English pronunciation quality: combining knowledge- and data-driven features at multiple time scales. INTERSPEECH 2015: 493-497 - [c22]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:
Automatic estimation of parkinson's disease severity from diverse speech tasks. INTERSPEECH 2015: 914-918 - 2014
- [c21]Naveen Kumar, Maarten Van Segbroeck, Kartik Audhkhasi, Peter Drotár, Shrikanth S. Narayanan:
Fusion of diverse denoising systems for robust automatic speech recognition. ICASSP 2014: 5557-5561 - [c20]Bo Xiao, Daniel Bone, Maarten Van Segbroeck, Zac E. Imel, David C. Atkins, Panayiotis G. Georgiou, Shrikanth S. Narayanan:
Modeling therapist empathy through prosody in drug addiction counseling. INTERSPEECH 2014: 213-217 - [c19]James Gibson, Maarten Van Segbroeck, Shrikanth S. Narayanan:
Comparing time-frequency representations for directional derivative features. INTERSPEECH 2014: 612-615 - [c18]Maarten Van Segbroeck, Ruchir Travadi, Colin Vaz, Jangwon Kim, Matthew P. Black, Alexandros Potamianos, Shrikanth S. Narayanan:
Classification of cognitive load from speech using an i-vector framework. INTERSPEECH 2014: 751-755 - [c17]Sriram Ganapathy, Kyu Jeong Han, Samuel Thomas, Mohamed Kamal Omar, Maarten Van Segbroeck, Shrikanth S. Narayanan:
Robust language identification using convolutional neural network features. INTERSPEECH 2014: 1846-1850 - [c16]Maarten Van Segbroeck, Ruchir Travadi, Shrikanth S. Narayanan:
UBM fused total variability modeling for language identification. INTERSPEECH 2014: 3027-3031 - [c15]Ruchir Travadi, Maarten Van Segbroeck, Shrikanth S. Narayanan:
Modified-prior i-vector estimation for language identification of short duration utterances. INTERSPEECH 2014: 3037-3041 - [c14]Naveen Kumar, Rahul Gupta, Tanaya Guha, Colin Vaz, Maarten Van Segbroeck, Jangwon Kim, Shrikanth S. Narayanan:
Affective Feature Design and Predicting Continuous Affective Dimensions from Music. MediaEval 2014 - [c13]Rahul Gupta, Nikolaos Malandrakis, Bo Xiao, Tanaya Guha, Maarten Van Segbroeck, Matthew Black, Alexandros Potamianos, Shrikanth S. Narayanan:
Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions. AVEC@MM 2014: 33-40 - 2013
- [c12]Maarten Van Segbroeck, Shrikanth S. Narayanan:
A robust frontend for ASR: Combining denoising, noise masking and feature normalization. ICASSP 2013: 7097-7101 - [c11]Ming Li, Andreas Tsiartas, Maarten Van Segbroeck, Shrikanth S. Narayanan:
Speaker verification using simplified and supervised i-vector modeling. ICASSP 2013: 7199-7203 - [c10]Daniel Bone, Theodora Chaspari, Kartik Audhkhasi, James Gibson, Andreas Tsiartas, Maarten Van Segbroeck, Ming Li, Sungbok Lee, Shrikanth S. Narayanan:
Classifying language-related developmental disorders from speech cues: the promise and the potential confounds. INTERSPEECH 2013: 182-186 - [c9]Maarten Van Segbroeck, Andreas Tsiartas, Shrikanth S. Narayanan:
A robust frontend for VAD: exploiting contextual, discriminative and spectral cues of human voice. INTERSPEECH 2013: 704-708 - [c8]Andreas Tsiartas, Theodora Chaspari, Nassos Katsamanis, Prasanta Kumar Ghosh, Ming Li, Maarten Van Segbroeck, Alexandros Potamianos, Shrikanth S. Narayanan:
Multi-band long-term signal variability features for robust voice activity detection. INTERSPEECH 2013: 718-722 - [c7]James Gibson, Maarten Van Segbroeck, Antonio Ortega, Panayiotis G. Georgiou, Shrikanth S. Narayanan:
Spectro-temporal directional derivative features for automatic speech recognition. INTERSPEECH 2013: 872-875 - 2012
- [c6]Fabrizio Morbini, Kartik Audhkhasi, Ron Artstein, Maarten Van Segbroeck, Kenji Sagae, Panayiotis G. Georgiou, David R. Traum, Shrikanth S. Narayanan:
A reranking approach for recognition and classification of speech input in conversational dialogue systems. SLT 2012: 49-54 - 2011
- [j2]Maarten Van Segbroeck, Hugo Van hamme:
Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition. IEEE Trans. Speech Audio Process. 19(1): 123-137 (2011) - [p1]Jort F. Gemmeke, Maarten Van Segbroeck, Yujun Wang, Bert Cranen, Hugo Van hamme:
Automatic Speech Recognition Using Missing Data Techniques: Handling of Real-World Data. Robust Speech Recognition of Uncertain or Missing Data 2011: 157-185
2000 – 2009
- 2009
- [j1]Maarten Van Segbroeck, Hugo Van hamme:
Unsupervised learning of time-frequency patches as a noise-robust representation of speech. Speech Commun. 51(11): 1124-1138 (2009) - [c5]Jort F. Gemmeke, Yujun Wang, Maarten Van Segbroeck, Bert Cranen, Hugo Van hamme:
Application of noise robust MDT speech recognition on the SPEECON and speechdat-car databases. INTERSPEECH 2009: 1227-1230 - [c4]Maarten Van Segbroeck, Hugo Van hamme:
Applying non-negative matrix factorization on time-frequency reassignment spectra for missing data mask estimation. INTERSPEECH 2009: 2511-2514 - 2008
- [c3]Maarten Van Segbroeck, Hugo Van hamme:
Robust speech recognition using missing data techniques in the prospect domain and fuzzy masks. ICASSP 2008: 4393-4396 - 2007
- [c2]Maarten Van Segbroeck, Hugo Van hamme:
Vector-quantization based mask estimation for missing data automatic speech recognition. INTERSPEECH 2007: 910-913 - 2006
- [c1]Maarten Van Segbroeck, Hugo Van hamme:
Handling convolutional noise in missing data automatic speech recognition. INTERSPEECH 2006
Coauthor Index
aka: Shrikanth S. Narayanan
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