SP-L9: Robust Features for Speech Recognition

Session Type: Lecture
Time: Friday, May 21, 13:00 - 15:00
Location: Grand Salon
Chair: Tatsuya Kawahara, Kyoto University
 
SP-L9.1: SPECTRAL ENTROPY BASED FEATURE FOR ROBUST ASR
         Hemant Misra; IDIAP
         Shajith Ikbal; IDIAP
         Hervé Bourlard; IDIAP
         Hynek Hermansky; IDIAP
 
SP-L9.2: HIGHER ORDER CEPSTRAL MOMENT NORMALIZATION (HOCMN) FOR ROBUST SPEECH RECOGNITION
         Chang-wen Hsu; National Taiwan University
         Lin-shan Lee; National Taiwan University
 
SP-L9.3: ROBUSTNESS OF SPEECH RECOGNITION USING GENETIC ALGORITHMS AND A MEL-CEPSTRAL SUBSPACE APPROACH
         Sid-Ahmed Selouani; Université de Moncton
         Douglas O'Shaughnessy; INRS-EMT
 
SP-L9.4: PHASE AUTOCORRELATION (PAC) FEATURES IN ENTROPY BASED MULTI-STREAM FOR ROBUST SPEECH RECOGNITION
         Shajith Ikbal; IDIAP
         Hemant Misra; IDIAP
         Hervé Boulard; IDIAP
         Hynek Hermansky; IDIAP
 
SP-L9.5: CEPSTRAL GAIN NORMALIZATION FOR NOISE ROBUST SPEECH RECOGNITION
         Shingo Yoshizawa; Hokkaido University
         Noboru Hayasaka; Hokkaido University
         Naoya Wada; Hokkaido University
         Yoshikazu Miyanaga; Hokkaido University
 
SP-L9.6: ROBUST SPEECH RECOGNITION USING CEPSTRAL DOMAIN MISSING DATA TECHNIQUES AND NOISY MASKS
         Hugo Van hamme; Katholieke Universiteit Leuven
 

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