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上乃 聖

名古屋工業大学 大学院 工学研究科 情報工学プログラム 助教

sei.ueno[at]nitech.ac.jp

学歴

研究

受賞

International conference papers (first author)

  1. Sei Ueno, Hirofumi Inaguma, Masato Mimura, Tatsuya Kawahara: Acoustic-to-word Attention-based Model Complemented with Character-level CTC-based Model.International Conference on Acoustics, Speech, and SignalProcessing (ICASSP), pp.5804-5808, 2018.
  2. Sei Ueno, Takafumi Moriya, Mimura Mimura, Shinsuke Sakai, YoshikazuYamaguchi, Yushi Aono, Tatsuya Kawahara: Encoder Transfer for Attention-based Acoustic-to-word Speech Recognition. INTERSPEECH, pp.2424-2428, 2018.
  3. Sei Ueno, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara: Multi-speaker Sequence-to-sequence Speech Synthesis for Data Augmentation in Acoustic-to-word Speech Recognition.International Conference on Acoustics, Speech, and Signal Processing (ICASSP), accepted, 2019.

International conference papers (co-author)

  1. Han Feng, Sei Ueno, Tatsuya Kawahara : End-to-End Speech Emotion Recognition Combined with Acoustic-to-Word ASR Model. INTERSPEECH, pp.501–-505, 2020.
  2. Hayato Futami, Hirofumi Inaguma, Sei Ueno, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara: Distilling the Knowledge of BERT for Sequence-to-Sequence ASR. INTERSPEECH, pp.3635–3639, 2020.
  3. Viet-Trung Dang, Tianyu Zhao,Sei Ueno, Hirofumi Inaguma, Tatsuya Kawahara: End-to-End Speech-to-Dialog-Act Recognition. INTERSPEECH, pp.3910–3914, 2020.
  4. Kohei Matsuura, Sei Ueno, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara: Speech Corpus of Ainu Folklore and End-to-end Speech Recognition for Ainu Language. International Conference on Language Resources and Evaluation (LREC), pp.2622-2628,2020.
  5. Takafumi Moriya, Sei Ueno, Yusuke Shinohara, Marc Delcroix, YoshikazuYamaguchi, Yushi Aono: Multi-task Learning with Augmentation Strategy for Acoustic-to-word Attention-based Encoder-decoder Speech Recog-nition.INTERSPEECH, pp.2399-2403, 2018.
  6. Masato Mimura, Sei Ueno, Hirofumi Inaguma, Shinsuke Sakai, and Tatsuya Kawahara: Leveraging sequence-to-sequence Speech Synthesis for En-hancing Acoustic-to-word Speech Recognition.Workshop On Spoken Lan-guage Technology (SLT), pp.477-484, 2018.

Grants / Fellowships