Art

J-GLOBAL ID：202002238711967636   Reference number：20A0325294

Performance improvement of speech enhancement network by multitask learning including noise information

雑音情報を含めたマルチタスク学習による音声強調ネットワークの性能改善

Author (5)： TANAKA HARUKI (徳山工高専) ,  SUGIURA YOSUKE (埼玉大) ,  YASUI NOZOMIKO (埼玉大) ,  SHIMAMURA TETSUYA (埼玉大) ,  MIYAZAKI RYOICHI (徳山工高専)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 119  Issue： 334(EA2019 66-82)  Page： 31-36  Publication year： Dec. 05, 2019 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： machine learning ,  reinforcement learning ,  noise(signal) ,  *speech enhancement ,  improvement ,  performance ,  signal processing ,  *speech synthesis ,  data ,  mixing ,  *algorithm
Semi thesaurus term： *autoencoder ,  multitask learning ,  noisy data ,  *voice synthesis based on deep neural networks ,  performance improvement

JST classification (1)： Speach processing  (JE05000E)

Reference (21)：

• P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P. A. Manzagol,“Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion,” Journal of machine learning research, pp.3371-3408, 2010.
• X. Lu, Y. Tsao, S. Matsuda and C. Hori,“Speech enhancement based on deep denoising autoencoder,” Proceedings of Interspeech 2013, pp.436-440, 2013.
• S. Pascual, A. Bonafonte, and J. Serra,“SEGAN: Speech enhancement generative adversarial network,” Proceedings of Interspeech 2017, pp.3642-3646, 2017.
• C. Macartney and T. Weyde,“Improved speech enhancement with the Wave-U-Net,” arXiv preprint arXiv:1811.11307, 2018.
• S. W. Fu, Y. Tsao, X. Lu, and H. Kawai,“Raw waveform-based speech enhancement by fully convolutional networks,” Proceedings of 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp.6-12, 2017.

Terms in the title (4)： 雑音 ,  マルチタスク学習 ,  音声強調 ,  性能改善