年単位の研究成果
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Speech recognition
Engineering & Materials Science
Microphones
Engineering & Materials Science
Hidden Markov models
Engineering & Materials Science
Robots
Engineering & Materials Science
Acoustics
Engineering & Materials Science
Speech enhancement
Engineering & Materials Science
Acoustic waves
Engineering & Materials Science
Blind source separation
Engineering & Materials Science
ネットワーク
最近の共同研究。丸をクリックして詳細を確認しましょう。
研究成果 2002 2019
Acoustic Feature Representation Based on Timbre for Fault Detection of Rotary Machines
Minemura, K., Ogawa, T. & Kobayashi, T., 2019 3 11, Proceedings - 2018 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2018. Wang, D., Zhou, Y., Cabrera, D., Li, C. & Zhang, C. (版). Institute of Electrical and Electronics Engineers Inc., p. 302-305 4 p. 8664991. (Proceedings - 2018 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2018).研究成果: Conference contribution
fault detection
Fault Detection
Fault detection
Acoustics
acoustics
2
引用
(Scopus)
Adversarial autoencoder for reducing nonlinear distortion
Tawara, N., Kobayashi, T., Fujieda, M., Katagiri, K., Yazu, T. & Ogawa, T., 2019 3 4, 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1669-1673 5 p. 8659540. (2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings).研究成果: Conference contribution
Nonlinear distortion
Speech intelligibility
Speech enhancement
Acoustic waves
Processing
Postfiltering Using an Adversarial Denoising Autoencoder with Noise-aware Training
Tawara, N., Tanabe, H., Kobayashi, T., Fujieda, M., Katagiri, K., Yazu, T. & Ogawa, T., 2019 5 1, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3282-3286 5 p. 8682684. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; 巻数 2019-May).研究成果: Conference contribution
Speech enhancement
Nonlinear distortion
Noise abatement
Acoustic waves
Visual explanation of neural network based rotation machinery anomaly detection system
Saeki, M., Ogata, J., Murakawa, M. & Ogawa, T., 2019 6, 2019 IEEE International Conference on Prognostics and Health Management, ICPHM 2019. Institute of Electrical and Electronics Engineers Inc., 8819396. (2019 IEEE International Conference on Prognostics and Health Management, ICPHM 2019).研究成果: Conference contribution
Machinery
Neural networks
Visualization
Rotating machinery
Wind turbines
1
引用
(Scopus)
Exploiting end of sentences and speaker alternations in language modeling for multiparty conversations
Ashikawa, H., Tawara, N., Ogawa, A., Iwata, T., Kobayashi, T. & Ogawa, T., 2018 2 5, Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. Institute of Electrical and Electronics Engineers Inc., 巻 2018-February. p. 1263-1267 5 p.研究成果: Conference contribution
Recurrent neural networks
Transcription
Neural networks