Speech Recognition for a Robot under its Motor Noises by Selective Application of Missing Feature Theory and MLLR

ITRW on Statistical and Perceptual Audio Processing, SAPA 2006

Volumn , Issue , 2006, Pages 53-58

  Nishimura, Yoshitaka ^a,b   Nakano, Mikio ^a,b   Nakadai, Kazuhiro ^a,b   Tsujino, Hiroshi ^a,b   Ishizuka, Mitsuru ^a,b  

^a UNIVERSITY OF TOKYO   (Japan)

^b HONDA RESEARCH INSTITUTE JAPAN CO LTD   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; INFORMATION USE; MAXIMUM LIKELIHOOD; MICROPHONES; SIGNAL TO NOISE RATIO; SPEECH RECOGNITION;

AUTOMATIC SPEECH RECOGNITION; MAXIMUM LIKELIHOOD LINEAR REGRESSION; MISSING FEATURE THEORIES; MOTION GESTURES; MOTOR NOISE; NOISE TYPES; POWER; ROBOT MOTION; SELECTION RULES; TECHNIQUE SELECTION;

ROBOTS;

EID: 85087835049     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

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