Compression of acoustic features for speech recognition in network environments

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

Volumn 2, Issue , 1998, Pages 977-980

  Ramaswamy, Ganesh N ^a   Gopalakrishnan, Ponani S ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC FEATURES; CLIENT-SERVER MODELS; COMPRESSION ALGORITHMS; LINEAR PREDICTION; MEMORY REQUIREMENTS; MULTI-STAGE; RECOGNITION ACCURACY; SPEECH RECOGNITION SYSTEMS;

ENCODING (SYMBOLS); SIGNAL PROCESSING; SPEECH RECOGNITION; VECTOR QUANTIZATION;

ALGORITHMS;

EID: 84892154067     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1998.675430     Document Type: Conference Paper

References (3)

1. Bahl, L. R., et. al., "Performance of the IBM Large Vocabulary Continuous Speech Recognition System on the ARPA Wall Street Journal Task," Proceedings of the IEEE ICASSP, Detroit, pp. 41-44, May 1995.
2. Gersho, A., and Gray, R. M., Vector Quantization and Signal Compression, Kluwer Academic Publishers, 1992.
3. Klein, W. B., and Paliwal, K. K. (ed.), Speech Coding and Synthesis, Elsevier, 1995.