Impact of single-microphone dereverberation on DNN-based meeting transcription systems

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2014, Pages 5527-5531

  Yoshioka, Takuya ^a,b   Chen, Xie ^a   Gales, Mark J F ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b NTT Communication Science Laboratories   (Japan)

Author keywords

deep neural network; Environmental robustness; meeting transcription; reverberation; single distant microphone

Indexed keywords

MICROPHONES; REVERBERATION; SPEECH RECOGNITION; TRANSCRIPTION;

ACOUSTIC MODEL; AUTOMATIC SPEECH RECOGNITION SYSTEM; DEEP NEURAL NETWORKS; DEREVERBERATION; ENVIRONMENTAL ROBUSTNESS; FEATURE VECTORS; STATE-OF-THE-ART SYSTEM;

SIGNAL PROCESSING;

EID: 84905247922     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6854660     Document Type: Conference Paper

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