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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

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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)
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Pattern recognition  ,  Artificial intelligence 
Reference (26):
  • 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).
  • 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).
  • 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).
  • 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).
  • 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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