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Volumn 1, Issue , 2012, Pages 806-809

Bayesian feature enhancement for ASR of noisy reverberant real-world data

Author keywords

Bayesian feature enhancement; Denoising; Dereverberation

Indexed keywords

ACOUSTIC IMPULSE RESPONSE; AUDIO-VISUAL CORPORA; COARSE MODELS; DE-NOISING; DEREVERBERATION; FEATURE ENHANCEMENT; WALL STREET JOURNAL; WORD ERROR RATE;

EID: 84878416537     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (12)
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    • (2010) IEEE Trans. Audio, Speech, Lang. Process. , vol.18 , Issue.7 , pp. 1673-1675
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  • 2
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    • Model-based feature enhancement for reverberant speech recognition
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    • Krueger, A.1    Haeb-Umbach, R.2
  • 3
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    • Aurora-5 experimental framework for the performance evaluation of speech recognition in case of a hands-free speech input in noisy environments
    • Tech. Rep.
    • H. Hirsch, "Aurora-5 experimental framework for the performance evaluation of speech recognition in case of a hands-free speech input in noisy environments," Niederrhein University of Applied Sciences, Tech. Rep., 2007.
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    • Hirsch, H.1
  • 4
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  • 5
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    • A. Krueger and R. Haeb-Umbach, "A model-based approach to joint compensation of noise and reverberation for speech recognition," in Robust Speech Recognition of Uncertain or Missing Data, R. Haeb-Umbach and D. Kolossa, Eds. Springer, 2011.
    • (2011) Robust Speech Recognition of Uncertain or Missing Data
    • Krueger, A.1    Haeb-Umbach, R.2
  • 8
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    • La transmission de l' énergie sonore dans les salles
    • Université du Maine
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    • (1988) Dissertation
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  • 10
    • 84886193942 scopus 로고    scopus 로고
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    • ETSI, "ETSI standard document, speech processing, transmission and quality aspects (stq); distributed speech recognition; front-end feature extraction algorithm; compression algorithms, etsi es 201 108 v1.1.3," ETSI ES 201 108 V1.1.3, ETSI ES 201 108, Tech. Rep., 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.