Art
J-GLOBAL ID:202002211138084104
Reference number:20A0368686
Speech Recognition-based Evaluation of a Noise Reduction Method in Known-Noise Environment
既知ノイズ環境におけるノイズ削減手法のスピーチ認識ベースの評価
Author (4):
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Material:
Volume:
2019
Issue:
SLP-130
Page:
Vol.2019-SLP-130,No.6,1-5 (WEB ONLY)
Publication year:
Nov. 29, 2019
JST Material Number:
U0451A
Document type:
Proceedings
Article type:
原著論文
Country of issue:
Japan (JPN)
Language:
ENGLISH (EN)
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (2):
JST classification
Category name(code) classified by JST.
Pattern recognition
, Artificial intelligence
Reference (25):
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M. Fujimoto, K. Ishizuka, and T. Nakatani, “A voice activity detection based on the adaptive integration of multiple speech features and a signal decision scheme,” in Proc. of ICASSP 2018, 2008, pp. 4441-4444.
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Z. Zhang, X. Xiao, L. Wang, E. Chng, and H. Li, “Noise robust speech recognition using multi-channel based channel selection and channel weighting,” reprint arXiv:1604.03276, 2016.
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Z. Zhang, J. Geiger, J. Pohjalainen, A. El-Desoky Mousa, W. Jin, and B. Schuller, “Deep learning for environmentally robust speech recognition: An overview of recent developments,” ACM TIST, vol. 9, no. 5, 2018, pp.49:1-49:28.
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Xugang lu, T. Yu, M. Shigeki, and C. Hori, “Speech enhancement based on deep denoising auto-encoder,” in Proc. of INTERSPEECH 2013, 2013, pp. 436-440.
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K. Nakazawa and K. Kondo, “De-reverberation using DNN for non-reference reverberant speech intelligibility estimation,” in Proc. of GCCE 2018, 2018, pp. 349-350.
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