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Volumn 3, Issue 1, 2002, Pages 89-100

A Robust Word Boundary Detection Algorithm for Variable Noise-Level Environment in Cars

Author keywords

Mel scale frequency; Multiband; Spectrum analysis; Time frequency; Word boundary detection

Indexed keywords


EID: 0141475749     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/6979.994798     Document Type: Article
Times cited : (17)

References (17)
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    • Comments on an improved endpoint detector for isolated word recognition
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    • Reaves, B.1
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    • July
    • J. C. Junqua, B. Mak, and B. Reaves, "A robust algorithm for word boundary detection in the presence of noise," IEEE Trans. Speech Audio Processing, vol. 2, pp. 406-412, July 1994.
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    • Junqua, J.C.1    Mak, B.2    Reaves, B.3
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    • Qi, Y.1    Hunt, B.R.2
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    • Apr.
    • Y. Ariki, S. Mizuta, and T. Sakai, "Spoken-word recognition using dynamic features analyzed by two-dimensional cepstrum," Proc. Inst. Elec. Eng., pt. I, vol. 136, no. 2, Apr. 1989.
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    • Ariki, Y.1    Mizuta, S.2    Sakai, T.3
  • 14
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    • A study on two-dimensional cepstrum approach for speech recognition
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    • Assessment for automatic speech recognition: II. NOISEX-92: a database and an experiment to study the effect of additive noise on speech recognition systems
    • A. Varga and H. J. M. Steeneken, "Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems," Speech Commun., vol. 12, pp. 247-251, 1993.
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    • Varga, A.1    Steeneken, H.J.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.