Art
J-GLOBAL ID:202002280989280548
Reference number:20A0368690
民話を対象としたアイヌ語音声コーパスとEnd-to-End音声認識
Author (5):
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Material:
Volume:
2019
Issue:
SLP-130
Page:
Vol.2019-SLP-130,No.16,1-6 (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:
JAPANESE (JA)
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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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 (26):
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Chiu, C., Sainath, T. N., Wu, Y., Prabhavalkar, R., Nguyen, P., Chen, Z., Kannan, A., Weiss, R. J., Rao, K., Gonina, K., Jaitly, N., Li, B., Chorowski, J. and Bacchiani, M.: State-of-the-art Speech Recognition With Sequence-to-Sequence Models, CoRR, Vol. abs/1712.01769 (online), available from (http://arxiv.org/abs/1712.01769) (2017).
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Lüscher, C., Beck, E., Irie, K., Kitza, M., Michel, W., Zeyer, A., Schlüter, R. and Ney, H.: RWTH ASR Systems for LibriSpeech: Hybrid vs Attention - w/o Data Augmentation, CoRR, Vol. abs/1905.03072 (online), available from (http://arxiv.org/abs/1905.03072) (2019).
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Han, K. J., Prieto, R., Wu, K. and Ma, T.: State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention With Dilated 1D Convolutions (2019).
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Sutskever, I., Vinyals, O. and Le, Q. V.: Sequence to Sequence Learning with Neural Networks, CoRR, Vol. abs/1409.3215 (online), available from (http://arxiv.org/abs/1409.3215) (2014).
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Chorowski, J., Bahdanau, D., Cho, K. and Bengio, Y.: End-to-end continuous speech recognition using attention-based recurrent nn: First results, NIPS 2014 Workshop on Deep Learning, December 2014 (2014).
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Terms in the title (4):
Terms in the title
Keywords automatically extracted from the title.
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