| 研究課題/領域番号 |
19K24376
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| 研究機関 | 国立研究開発法人情報通信研究機構 |
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研究代表者 |
李 勝 国立研究開発法人情報通信研究機構, 先進的音声翻訳研究開発推進センター先進的音声技術研究室, 研究員 (70840940)
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| 研究期間 (年度) |
2019-08-30 – 2021-03-31
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| キーワード | speech recognition / end-to-end / language identification / disordered speech / speaker diarization |
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| 研究実績の概要 |
In FY2019, I focus on algorithm optimization. I am so happy to find the proposed method is universally available for wide various tasks (multilingual mispronunciation detection, multilingual speech recognition, disordered speech recognition, language identification, and speaker diarization).
There are 2 international papers were accepted in ICASSP2020, 1 joint first author, and 1 corresponding author. 1 co-authored with equal contribution in ICME2020, 1 first author and 1 co-author in Speaker Odyssey2020. There are also 3 domestic presentations were reported in ASJ2020.
In FY2020, we will investigate the core problem of this research topic, that is massive language modeling ability. There are strong influences from cross-language family or same-language family.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
1: 当初の計画以上に進展している
理由
I am so happy to find the proposed method is universally available for various tasks (speech recognition, disordered speech recognition, language identification, and speaker diarization).
I also revealed the limits of the proposed method by the extensive research in paper of Odyssey2020.
All these are important for future research.
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| 今後の研究の推進方策 |
In the next step, we will touch the core problem of this research topic, that is massive language modeling ability.
Three possible tasks would be accent speech recognition, cross-language family speech recognition, inter-language family speech recognition.
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| 次年度使用額が生じた理由 |
In FY2020 the COVID-19 influenced my research activities. I canceled all of the on-site meeting for the accepted paper. And I focus myself on experiment and new algorithm design.
For the remaining 515,867 JPY, I would buy one more GPU-workstation and proofreading service for the manuscripts.
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