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Volumn 15, Issue , 2008, Pages 701-704

Robust speech recognition by nonlocal means denoising processing

Author keywords

Noise robustness; Nonlocal means; Speech enhancement; Speech recognition

Indexed keywords

CLASSICAL METHODS; DE-NOISING; IMAGE DE-NOISING; IMAGINARY PARTS; NOISE ROBUSTNESS; NOISY SPEECH; NONLOCAL; NONLOCAL MEANS; ROBUST SPEECH RECOGNITION; SPECTRAL SUBTRACTIONS; SPEECH SPECTROGRAM;

EID: 67650134498     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2008.2001820     Document Type: Article
Times cited : (9)

References (10)
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    • Boll, S.F.1
  • 2
    • 0018320733 scopus 로고
    • Enhancement of speech corrupted by acoustic noise
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    • Berouti, M.1    Schwartz, R.2    Makhoul, J.3
  • 3
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    • Spectral subtraction with full-wave rectification and likelihood controlled instantaneous noise estimation for robust speech recognition
    • Jeju, Korea, Oct
    • H. Xu, Z. -. Tan, P. Dalsgaard, and B. Lindberg, "Spectral subtraction with full-wave rectification and likelihood controlled instantaneous noise estimation for robust speech recognition," in Proc. ICSLP, Jeju, Korea, Oct. 2004.
    • (2004) Proc. ICSLP
    • Xu, H.1    Tan, Z.2    Dalsgaard, P.3    Lindberg, B.4
  • 4
    • 33645653318 scopus 로고    scopus 로고
    • A review of image denoising algorithms, with a new one
    • A. Buades, B. Coll, and J. M. Morel, "A review of image denoising algorithms, with a new one," SIAM L. Multi-Scale Model. Sim., vol. 4, no. 2, pp. 490-530, 2005.
    • (2005) SIAM L. Multi-Scale Model. Sim , vol.4 , Issue.2 , pp. 490-530
    • Buades, A.1    Coll, B.2    Morel, J.M.3
  • 5
    • 32644447834 scopus 로고    scopus 로고
    • Speech spectral modelling and enhancement based on autoregressive conditional heteroscedasticity models
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  • 6
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    • Exploitation of spectral variance to improve robustness in speech recognition
    • Mar
    • H. Xu, Z. -. Tan, P. Dalsgaard, and B. Lindberg, "Exploitation of spectral variance to improve robustness in speech recognition," Electron. Lett., vol. 42, no. 5, pp. 312-314, Mar. 2006.
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    • Xu, H.1    Tan, Z.2    Dalsgaard, P.3    Lindberg, B.4
  • 7
    • 0038669544 scopus 로고    scopus 로고
    • The AURORA experimental framework for the performance evaluations of speech recognition systems under noisy conditions
    • Paris, France, Sep
    • H. G. Hirsch and D. Pearce, "The AURORA experimental framework for the performance evaluations of speech recognition systems under noisy conditions," in Proc. ISCA ITRW ASR2000, Paris, France, Sep. 2000.
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    • Hirsch, H.G.1    Pearce, D.2
  • 9
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    • Noise power spectral density estimation based on optimal smoothing and minimum statistics
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    • R. Martin, "Noise power spectral density estimation based on optimal smoothing and minimum statistics," IEEE Trans. Speech Audio Process. vol. 9, no. 5, pp. 504-512, Jul. 2001.
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  • 10
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    • Evaluation of noise robust features on the Aurora databases
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    • X. Cui, M. Iseli, Q. Zhu, and A. Alwan, "Evaluation of noise robust features on the Aurora databases," in Proc. ICSLP 2002, Denver, CO, 2002, pp. 481-484.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.