Peripheral features for HMM-based speech recognition

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2001, Pages 129-132

  Fukuda, T ^a   Takigawa, M ^a   Nitta, T ^a  

^a TOYOHASHI UNIVERSITY OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODEL-BASED SPEECH RECOGNITION; MEL FREQUENCY CEPSTRAL COEFFICIENTS; PERIPHERAL FEATURES; TIME-QUAFRENCY;

COSINE TRANSFORMS; FAST FOURIER TRANSFORMS; FEATURE EXTRACTION; MARKOV PROCESSES; MATHEMATICAL MODELS; SPEECH ANALYSIS; SPEECH PROCESSING;

SPEECH RECOGNITION;

EID: 0034848497     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Effect of emphasizing transitional or stationary parts of the speech signal in a discrete utterance recognition system
2. Speaker-independent isolated word recognition using dynamic features of speech spectrum
3. A novel feature extraction using multiple acoustic feature planes for HMM-based speech recognition