Presentation | 2021-04-15 [Invited Talk] Speech recognition research moving forward with the development of deep learning technology Hiromitsu Nishizaki, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In recent years, deep learning technology has been developing rapidly. Along with the development of deep learning, automatic speech recognition (ASR) technology has also evolved significantly. About ten years ago, an ASR technology using a simple neural network emerged and showed significant improvement in ASR performance. Since then, an ASR technology based on deep learning has become the de facto standard. As deep learning progresses, ASR performance also continues to improve. In this paper, the transition of ASR technology is introduced, and the author's research on speech recognition will be also introduced. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | speech recognition / deep learning |
Paper # | NS2021-7 |
Date of Issue | 2021-04-08 (NS) |
Conference Information | |
Committee | NS |
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Conference Date | 2021/4/15(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Traffic, Network evaluation, Performance, Resource control and management, Traffic engineering, Network reliability and resilience, Network Intelligence and AI, etc. |
Chair | Akihiro Nakao(Univ. of Tokyo) |
Vice Chair | Tetsuya Oishi(NTT) |
Secretary | Tetsuya Oishi(NTT) |
Assistant | Shinya Kawano(NTT) |
Paper Information | |
Registration To | Technical Committee on Network Systems |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | [Invited Talk] Speech recognition research moving forward with the development of deep learning technology |
Sub Title (in English) | |
Keyword(1) | speech recognition |
Keyword(2) | deep learning |
1st Author's Name | Hiromitsu Nishizaki |
1st Author's Affiliation | University of Yamanashi(Univ. of Yamanashi) |
Date | 2021-04-15 |
Paper # | NS2021-7 |
Volume (vol) | vol.121 |
Number (no) | NS-2 |
Page | pp.pp.37-42(NS), |
#Pages | 6 |
Date of Issue | 2021-04-08 (NS) |