Open AccessRobust Speaker Localization Guided by Deep Learning-Based Time-Frequency Masking
Author(s) -
Zhong-Qiu Wang,
Xueliang Zhang,
DeLiang Wang
Publication year - 2018
Publication title -
ieee/acm transactions on audio speech and language processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.916
H-Index - 56
eISSN - 2329-9304
pISSN - 2329-9290
DOI - 10.1109/taslp.2018.2876169
Subject(s) - monaural , computer science , robustness (evolution) , speech recognition , reverberation , direction of arrival , masking (illustration) , speech enhancement , artificial neural network , pattern recognition (psychology) , artificial intelligence , acoustics , noise reduction , telecommunications , antenna (radio) , physics , art , visual arts , biochemistry , chemistry , gene
Deep learning-based time-frequency (T-F) masking has dramatically advanced monaural (single-channel) speech separation and enhancement. This study investigates its potential for direction of arrival (DOA) estimation in noisy and reverberant environments. We explore ways of combining T-F masking and conventional localization algorithms, such as generalized cross correlation with phase transform, as...
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