An investigation of spectral restoration algorithms for deep neural networks based noise robust speech recognition

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2013, Pages 3002-3006

  Li, Bo ^a   Tsao, Yu ^b   Sim, Khe Chai ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b RESEARCH CENTER FOR INFORMATION TECHNOLOGY INNOVATION   (Taiwan)

Author keywords

Deep neural networks; Spectral restoration; Speech enhancement

Indexed keywords

RESTORATION; SPEECH ENHANCEMENT; SPEECH RECOGNITION;

AUTOMATIC SPEECH RECOGNITION SYSTEM; DEEP NEURAL NETWORKS; GAUSSIAN MIXTURE MODEL; GENERALIZATION CAPABILITY; MINIMUM MEAN-SQUARE ERROR; MULTI-CONDITION TRAININGS; NOISE ROBUST SPEECH RECOGNITION; SPECTRAL AMPLITUDE ESTIMATORS;

ALGORITHMS;

EID: 84906272122     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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