Low bit rate compression methods of feature vectors for distributed speech recognition-Reference-Cited by-同舟云学术

Low bit rate compression methods of feature vectors for distributed speech recognition

Published:2014-03 Issue: Volume:58 Page:111-123
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Garcia Jose Enrique,Ortega Alfonso,Miguel Antonio,Lleida Eduardo

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference48 articles.

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2. Gracefully degradation of speech recognition performance over packet-erasure networks;Boulis;IEEE Trans. Speech Audio Process.,2002

3. Digalakis, V., Neumeyer, L., Perakakis, M., 1998. Quantization of cepstral parameters for speech recognition over the world wide web. In: Proceedings of ICASSP’98, pp.989–992.

4. Quantization of cepstral parameters for speech recognition over the world wide web;Digalakis;IEEE J. Sel. Areas Commun.,1999

5. ETSI Standard ES 201 108, 2000. Distributed speech recognition; front-end feature extraction algorithm; compression algorithms.

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