Hooking up spectro-temporal filters with auditory-inspired representations for robust automatic speech recognition

13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012

Volumn 2, Issue , 2012, Pages 1258-1261

  Meyer, Bernd T ^a,b   Spille, Constantin ^a   Kollmeier, Birger ^a   Morgan, Nelson ^b,c  

^a UNIVERSITY OF OLDENBURG   (Germany)

^b INTERNATIONAL COMPUTER SCIENCE INSTITUTE   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Automatic speech recognition; Power normalized features; Spectrotemporal features

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; CEPSTRAL COEFFICIENTS; HUMAN AUDITORY SYSTEM; OPTIMIZED PARAMETER; POWER-NORMALIZED FEATURES; ROBUST AUTOMATIC SPEECH RECOGNITION; SPECTRAL MODULATION; SPECTROTEMPORAL FEATURES;

AUDITION; FILTER BANKS; MODULATION; SPECTROGRAPHS; SPECTROSCOPY;

OPTIMIZATION;

EID: 84878415523     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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8. Ravuri, S. and Morgan, N. (2010). "Using spectro-temporal features to improve AFE feature extraction for ASR, " in Proc. Interspeech, pp. 1181-1184.
9. Schadler, M.R., Meyer, B.T., Kollmeier. B. (2011). "Spectrotemporal modulation subspace-spanning filter bank features for robust automatic speech recognition, " J. Acoust. Soc. Am., in press.