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Volumn , Issue , 2011, Pages 1785-1788

Reduction of highly nonstationary ambient noise by integrating spectral and locational characteristics of speech and noise for robust ASR

Author keywords

Automatic speech recognition; Direction of arrival; Log power spectrum; Noise reduction; Nonstationary noise

Indexed keywords

AMBIENT NOISE; AUTOMATIC SPEECH RECOGNITION; MICROPHONE ARRAYS; MULTI-CHANNEL; NONSTATIONARY; NONSTATIONARY NOISE; REAL TIME; ROBUST ASR; SPECTRAL FEATURE; SPECTRAL SHAPES; SPEECH QUALITY; TARGET SPEAKER;

EID: 84865754161     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (8)
  • 1
    • 0029725301 scopus 로고    scopus 로고
    • A vector Taylor series approach for environment-independent speech recognition
    • P.J. Moreno, B. Raj, and R.M. Stern, "A vector Taylor series approach for environment-independent speech recognition," ICASSP-96, vol. II, pp. 733-736, 1996.
    • (1996) ICASSP-96 , vol.2 , pp. 733-736
    • Moreno, P.J.1    Raj, B.2    Stern, R.M.3
  • 2
    • 80051616431 scopus 로고    scopus 로고
    • Non-stationary noise estimation method based on bias-residual component decomposition for robust speech recognition
    • to appear
    • M. Fujimoto, S. Watanabe, and T. Nakatani, "Non-stationary noise estimation method based on bias-residual component decomposition for robust speech recognition," to appear ICASSP-2011, 2011.
    • (2011) ICASSP-2011
    • Fujimoto, M.1    Watanabe, S.2    Nakatani, T.3
  • 3
    • 3142694930 scopus 로고    scopus 로고
    • Blind separation of speech mixtures via time-frequency masking
    • O. Yilmaz and S. Rickard, "Blind separation of speech mixtures via time-frequency masking," IEEE Trans. Signal Processing, vol. 52, no. 7, pp. 1830-1847, 2004.
    • (2004) IEEE Trans. Signal Processing , vol.52 , Issue.7 , pp. 1830-1847
    • Yilmaz, O.1    Rickard, S.2
  • 4
    • 50249118229 scopus 로고    scopus 로고
    • A two-stage frequencydomain blind source separation method for underdetermined convolutive mixtures
    • H. Sawada, S. Araki, and S. Makino, "A two-stage frequencydomain blind source separation method for underdetermined convolutive mixtures," Proc. WASPAA-2007, pp. 139-142, 2007.
    • (2007) Proc. WASPAA-2007 , pp. 139-142
    • Sawada, H.1    Araki, S.2    Makino, S.3
  • 5
    • 80051602796 scopus 로고    scopus 로고
    • Joint unsupervized learning of hidden Markov source models and source location models for multichannel source separation
    • to appear
    • T. Nakatani, S. Araki, T. Yoshioka, and M. Fujimoto, "Joint unsupervized learning of hidden Markov source models and source location models for multichannel source separation, to appear ICASSP-2011, 2011.
    • (2011) ICASSP-2011
    • Nakatani, T.1    Araki, S.2    Yoshioka, T.3    Fujimoto, M.4
  • 6
    • 85009230793 scopus 로고    scopus 로고
    • Factorial models and refiltering for speech separation and denoising
    • S.T. Roweis, "Factorial models and refiltering for speech separation and denoising," Proc. EUROSPEECH-2003, pp. 1009-1012, 2003.
    • (2003) Proc. EUROSPEECH-2003 , pp. 1009-1012
    • Roweis, S.T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.