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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Speech recognition Engineering & Materials Science
Microphones Engineering & Materials Science
Hidden Markov models Engineering & Materials Science
speech recognition Physics & Astronomy
Robots Engineering & Materials Science
Acoustics Engineering & Materials Science
Blind source separation Engineering & Materials Science
Acoustic waves Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2002 2019

  • 173 Citations
  • 6 h-Index
  • 46 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

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
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

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

Sequential Fish Catch Forecasting Using Bayesian State Space Models

Kokaki, Y., Tawara, N., Kobayashi, T., Hashimoto, K. & Ogawa, T., 2018 Nov 26, 2018 24th International Conference on Pattern Recognition, ICPR 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-August. p. 776-781 6 p. 8546069

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

Fish
Fisheries
Hamiltonians
Decision trees
Parameter estimation