Maximum mutual information based acoustic-features representation of phonological features for speech recognition

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

Volumn 1, Issue , 2002, Pages

  Omar, M Kamal ^a   Hasegawa Johnson, Mark ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; DATABASE SYSTEMS; FAST FOURIER TRANSFORMS; FEATURE EXTRACTION; LEARNING SYSTEMS; MARKOV PROCESSES; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; SPEECH ANALYSIS; SPEECH CODING;

ACOUSTIC FEATURES REPRESENTATION; MARKOV BLANKET; MAXIMUM MUTUAL INFORMATION; PHONOLOGICAL FEATURES;

SPEECH RECOGNITION;

EID: 0036298107     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2002.5743659     Document Type: Conference Paper

References (5)

1. Conversational speech recognition using acoustic and ariculatory input
2. Using mutual information to design feature combinations
3. Time-frequency distribution of partial phonetic information measured using mutual information
4. Toward optimal feature selection