Ideal ratio mask estimation using deep neural networks for robust speech recognition

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

Volumn , Issue , 2013, Pages 7092-7096

  Narayanan, Arun ^a   Wang, Deliang ^a,b  

^a Ohio State University   (United States)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

Aurora 4; Computational Auditory Scene Analysis; instantaneous SNR; noise robust ASR

Indexed keywords

AURORA-4; COMPUTATIONAL AUDITORY SCENE ANALYSIS; DEEP NEURAL NETWORKS; INSTANTANEOUS SNR; MULTI-CONDITION TRAININGS; NOISE ROBUST ASR; ROBUST AUTOMATIC SPEECH RECOGNITIONS (ASR); ROBUST SPEECH RECOGNITION;

ACOUSTIC NOISE; ALGORITHMS; ESTIMATION; FEATURE EXTRACTION; NEURAL NETWORKS; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; SPEECH PROCESSING; SPEECH RECOGNITION;

FREQUENCY ESTIMATION;

EID: 84890493989     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6639038     Document Type: Conference Paper

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