Bottleneck features based on gammatone frequency cepstral coefficients

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

Volumn , Issue , 2013, Pages 1751-1755

  Qi, Jun ^a   Wang, Dong ^a,b   Xu, Ji ^a   Tejedor, Javier ^c  

^a TSINGHUA UNIVERSITY   (China)

^b Division of Technical Innovation and Development Center for Speech and Language Technologies Tsinghua National for Information Science and Technology   (China)

^c UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

Bottleneck feature; Gammatone filters; Robust speech recognition

Indexed keywords

SIGNAL TO NOISE RATIO; SPEECH RECOGNITION;

BOTTLENECK FEATURES; CEPSTRAL COEFFICIENTS; ENVIRONMENTAL CONDITIONS; GAMMATONE FILTERS; LIMITED TRAINING DATA; MULTI-CONDITION TRAININGS; ROBUST SPEECH RECOGNITION; SIGNAL REPRESENTATIONS;

ACOUSTIC NOISE;

EID: 84906236884     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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