메뉴 건너뛰기




Volumn , Issue , 2011, Pages 5488-5491

An iterative least-squares technique for dereverberation

Author keywords

ASR; Dereverberation; Iterative Least Squares; NMF; Spectral Decomposition

Indexed keywords

ASR; DEREVERBERATION; ITERATIVE LEAST SQUARES; NMF; SPECTRAL DECOMPOSITION;

EID: 80051655895     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947601     Document Type: Conference Paper
Times cited : (12)

References (12)
  • 1
    • 78049354148 scopus 로고    scopus 로고
    • Maximum-likelihood-based cepstral inverse filtering for blind speech dereverberation
    • K. Kumar and R. M. Stern, "Maximum-likelihood-based cepstral inverse filtering for blind speech dereverberation," Proc. IEEE ICASSP, 2010.
    • Proc. IEEE ICASSP, 2010
    • Kumar, K.1    Stern, R.M.2
  • 2
    • 34547517494 scopus 로고    scopus 로고
    • A new concept for feature-domain dereverberation for robust distant-talking asr
    • A. Sehr and W. Kellermann, "A new concept for feature-domain dereverberation for robust distant-talking asr," Proc. IEEE ICASSP, 2007.
    • Proc. IEEE ICASSP, 2007
    • Sehr, A.1    Kellermann, W.2
  • 3
    • 70450180986 scopus 로고    scopus 로고
    • Model based feature enhancement for automatic speech recognition in reverberant environments
    • A. Krueger and R. Haeb-Umbach, "Model based feature enhancement for automatic speech recognition in reverberant environments," Proc. InterSpeech, pp. 1231-1234, 2009.
    • (2009) Proc. InterSpeech , pp. 1231-1234
    • Krueger, A.1    Haeb-Umbach, R.2
  • 4
    • 78049380787 scopus 로고    scopus 로고
    • Latent-variable decomposition based dereverberation of monaural and multi-channel signals
    • R. Singh, B. Raj, and P. Smaragdis, "Latent-variable decomposition based dereverberation of monaural and multi-channel signals," Proc. IEEE ICASSP, 2010.
    • Proc. IEEE ICASSP, 2010
    • Singh, R.1    Raj, B.2    Smaragdis, P.3
  • 6
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by nonnegative matrix factorization
    • D. D. Lee and H. S. Seung, "Learning the parts of objects by nonnegative matrix factorization," Nature, vol. 401, 1997.
    • (1997) Nature , vol.401
    • Lee, D.D.1    Seung, H.S.2
  • 7
    • 35048843291 scopus 로고    scopus 로고
    • Non-negative matrix factor deconvolution; extraction of multiple sound sources from monophonic inputs
    • P. Smaragdis, "Non-negative matrix factor deconvolution; extraction of multiple sound sources from monophonic inputs," Proc. ICA, pp. 494-499, 2004.
    • (2004) Proc. ICA , pp. 494-499
    • Smaragdis, P.1
  • 10
    • 0000413581 scopus 로고
    • The wiener rms error criterion in filter design and prediction
    • N. Levinson, "The wiener rms error criterion in filter design and prediction," J. Math. Phys., vol. 25, pp. 261-278, 1947.
    • (1947) J. Math. Phys. , vol.25 , pp. 261-278
    • Levinson, N.1
  • 12
    • 85009252959 scopus 로고    scopus 로고
    • Double the trouble: Handling noise and reverberation in far-field automatic speech recognition
    • D. Gelbart and N. Morgan, "Double the trouble: handling noise and reverberation in far-field automatic speech recognition," Proc. ICSLP, pp. 2185-2188, 2002.
    • (2002) Proc. ICSLP , pp. 2185-2188
    • Gelbart, D.1    Morgan, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.