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Volumn 88, Issue 10, 2008, Pages 2578-2583

Perceptual evaluation of blind source separation for robust speech recognition

Author keywords

Blind source separation; PESQ; Quality measures; Reverberation; Robust speech recognition

Indexed keywords

DEEP NEURAL NETWORKS; QUALITY CONTROL; REVERBERATION; SPEECH COMMUNICATION; SPEECH RECOGNITION;

EID: 54949092435     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2008.04.006     Document Type: Article
Times cited : (47)

References (14)
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    • Ellis, D.P.1
  • 4
    • 50249144022 scopus 로고    scopus 로고
    • A survey of convolutive blind source separation methods
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    • (2007) Springer Handbook of Speech Processing
    • Pedersen, M.S.1    Larsen, J.2    Kjems, U.3    Parra, L.C.4
  • 5
    • 34247144998 scopus 로고    scopus 로고
    • Objective quality evaluation in blind source separation for speech recognition in a real room
    • L. Di Persia, M. Yanagida, H.L Rufiner, D. Milone, Objective quality evaluation in blind source separation for speech recognition in a real room, Signal Processing 87 (8) (2007) 1951-1965.
    • (2007) Signal Processing , vol.87 , Issue.8 , pp. 1951-1965
    • Di Persia, L.1    Yanagida, M.2    Rufiner, H.L.3    Milone, D.4
  • 7
    • 85030573176 scopus 로고    scopus 로고
    • Perceptual evaluation of speech quality (PESQ): an objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs, ITU-T Recommendation P. 862.
    • Perceptual evaluation of speech quality (PESQ): an objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs, ITU-T Recommendation P. 862.
  • 8
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    • Evaluation of objective quality measures for speech enhancement
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  • 10
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    • Performance estimation of speech recognition system under noise conditions using objective quality measures and artificial voice
    • T. Yamada, M. Kumakura, N. Kitawaki, Performance estimation of speech recognition system under noise conditions using objective quality measures and artificial voice, IEEE Trans. Audio Speech Language Process. 14 (6) (2006) 2006-2013.
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    • Yamada, T.1    Kumakura, M.2    Kitawaki, N.3
  • 11
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    • Modeling perceptual similarity of audio signals for blind source separation evaluation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.