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Fingerprint Dive into the research topics where Tetsuji Ogawa is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
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

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Research Output 2002 2019

  • 189 Citations
  • 7 h-Index
  • 47 Conference contribution
  • 13 Article

Acoustic Feature Representation Based on Timbre for Fault Detection of Rotary Machines

Minemura, K., Ogawa, T. & Kobayashi, T., 2019 Mar 11, Proceedings - 2018 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2018. Wang, D., Zhou, Y., Cabrera, D., Li, C. & Zhang, C. (eds.). 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).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

fault detection
Fault Detection
Fault detection
Acoustics
acoustics
1 Citation (Scopus)

Adversarial autoencoder for reducing nonlinear distortion

Tawara, N., Kobayashi, T., Fujieda, M., Katagiri, K., Yazu, T. & Ogawa, T., 2019 Mar 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).

Research output: Chapter in Book/Report/Conference proceedingConference 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 May 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; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Speech enhancement
Nonlinear distortion
Noise abatement
Acoustic waves
1 Citation (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 Feb 5, Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-February. p. 1263-1267 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Transcription
Neural networks
1 Citation (Scopus)

Language model domain adaptation via recurrent neural networks with domain-shared and domain-specific representations

Moriokal, T., Tawara, N., Ogawa, T., Ogawa, A., Iwata, T. & Kobayashi, T., 2018 Sep 10, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-April. p. 6084-6088 5 p. 8462631

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Statistics