基本信息
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个人简介
Maarten Van Segbroeck (M’12) received the M.Sc. and Ph.D. degrees in electrical engineering from the Katholieke Universiteit Leuven, Belgium, in 2005 and 2010, respectively. He is a Postdoctoral Researcher at the Signal Analysis and Interpretation Laboratory (SAIL) at the University of Southern California (USC). At USC, he coordinated the Speech Activity Detection and Language Identification task for the DARPA RATS (Robust Automatic Transcription of Speech) program alongside IBM Watson Research Center. His research interests are in robust signal processing, speech and language recognition, affective computing, machine learning and neural computing. He has authored or co-authored over 30 refereed journal, conference, and workshop publications. In 2014, he received the Interspeech 2014 Computational Paralinguistics Challenge Award.
研究兴趣
论文共 38 篇作者统计合作学者相似作者
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ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2023)
arXiv (Cornell University) (2023): 745-749
arXiv (Cornell University) (2020)
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Van Segbroeck Maarten, Zaid Ahmed, Kutsenko Ksenia, Huerta Cirenia, Nguyen Tinh, Luo Xuewen,Hoffmeister Björn,Trmal Jan,Omologo Maurizio,Maas Roland
Neuronno. 3 (2017): 465-485.e5
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.4500-4504, (2015)
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作者统计
#Papers: 38
#Citation: 1210
H-Index: 25
G-Index: 34
Sociability: 5
Diversity: 1
Activity: 0
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