PRODUCT-CODE VECTOR QUANTIZATION OF CEPSTRAL PARAMETERS FOR SPEECH RECOGNITION OVER THE WWW

5th International Conference on Spoken Language Processing, ICSLP 1998

Volumn , Issue , 1998, Pages

  Digalakis, V ^a,b   Neumeyer, L ^b   Perakakis, M ^a  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

^b SRI INTERNATIONAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE NOISE; CELL PROLIFERATION; ENCODING (SYMBOLS); SIGNAL ENCODING; SPEECH RECOGNITION; TERNARY ALLOYS;

BIT RATES; CEPSTRAL; CLIENT-SERVER MODELS; CODEVECTOR; ENCODING SCHEMES; HIGH QUALITY; MEL FREQUENCIES; PERFORMANCE; PRODUCT CODE; VECTOR QUANTISATION;

VECTOR QUANTIZATION;

EID: 84889319028     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. V. Digalakis, L. Neumeyer and M. Perakakis, “Quantization of Cepstral Parameters for Speech Recognition over the WWW,” Proceedings ICASSP'98, Seattle, WA, May 1998.
3. The Aurora Project, announced at Telecom 95, “http://gold.ity.int/TELECOM/wt95”, Geneva, October 1995.
4. D. Stallard, “The BBN SPIN System”, presented at the Voice on the Net Conference, Boston, MA, Sep. 1997.
5. J. Makhoul, S. Roucos and H. Gish, “Vector Quantization in Speech Coding,” Proceedings of the IEEE, Vol. 73, No. 11, pp. 1551-1588, November 1985.
6. P. Price. “Evaluation of Spoken Language Systems: The ATIS Domain,” Proceedings of the Third DARPA Speech and Natural Language Workshop, Hidden Valley, PA, June 1990, Morgan Kaufmann.
7. V. Digalakis and H. Murveit, “Genones: Optimizing the Degree of Mixture Tying in a Large Vocabulary Hidden Markov Model Based Speech Recognizer,” IEEE Trans. Speech Audio, pp. 281-289, July 1996