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Volumn , Issue , 2002, Pages 1601-1604

Data-driven vector clustering for low-memory footprint ASR

Author keywords

[No Author keywords available]

Indexed keywords

ENTROPY; HEURISTIC METHODS; OPTIMIZATION; PERSONAL DIGITAL ASSISTANTS;

EID: 4544369470     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (12)
  • 2
    • 85135158363 scopus 로고    scopus 로고
    • Subspace distribution clustering for continuous observation density hidden Markov models
    • Rhodes, Greece
    • Enrico Bocchieri and Brian Mak. Subspace distribution clustering for continuous observation density hidden markov models. In Proc. Eurospeech'97, pages 107-110, Rhodes, Greece, 1997.
    • (1997) Proc. Eurospeech'97 , pp. 107-110
    • Bocchieri, E.1    Mak, B.2
  • 8
    • 85009270067 scopus 로고    scopus 로고
    • A handy way to interact
    • July/August
    • G. Moyers. A handy way to interact. Speech Technology, pages 14-17, July/August 2001.
    • (2001) Speech Technology , pp. 14-17
    • Moyers, G.1
  • 10
    • 67649122716 scopus 로고    scopus 로고
    • Sub-vector clustering to improve memory and speed performance of acoustic likelihood computation
    • Rhodes, Greece
    • M. Ravishankar, R. Bisiani, and E. Thayer. Sub-vector clustering to improve memory and speed performance of acoustic likelihood computation. In Proceedings of Eurospeech, pages 151-154, Rhodes, Greece, 1997.
    • (1997) Proceedings of Eurospeech , pp. 151-154
    • Ravishankar, M.1    Bisiani, R.2    Thayer, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.