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Volumn 4885 LNAI, Issue , 2007, Pages 161-168

Towards phonetically-driven hidden Markov models: Can we incorporate phonetic landmarks in HMM-based ASR?

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE REPRESENTATION; SPEECH ANALYSIS; SPEECH RECOGNITION;

EID: 38549115667     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77347-4_13     Document Type: Conference Paper
Times cited : (5)

References (9)
  • 4
    • 4544287474 scopus 로고    scopus 로고
    • Minimum classification error training of landmark models for real-time continuous speech recognition
    • McDermott, E., Hazen. T.: Minimum classification error training of landmark models for real-time continuous speech recognition. In: Proc. IEEE Intl. Conf. Acoust. Speech, Signal Processing, vol. 1 (2004)
    • (2004) Proc. IEEE Intl. Conf. Acoust. Speech, Signal Processing , vol.1
    • McDermott, E.1    Hazen, T.2
  • 5
    • 38549181049 scopus 로고    scopus 로고
    • Schutte, K., J.G.: Robust detection of sonorant landmarks. In: European Conf. on Speech Communication and Technology Interspeech (2005)
    • Schutte, K., J.G.: Robust detection of sonorant landmarks. In: European Conf. on Speech Communication and Technology Interspeech (2005)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.