受賞

知能コミュニケーション研究室のAndros Tjandraさん(博士後期課程2年)らが、IEEE ASRU2017において、ASRU MERL Student Paper Awardを受賞しました。
Andros Tjandra et al. received the ASRU MERL Student Paper Award. (2017/12/20)

  ASRU2017(2017 IEEE Automatic Speech Recognition and Understanding Workshop)は自動音声認識および理解における課題につき、世界トップレベルの研究者が発表、討論するIEEEの国際ワークショップです。当ワークショップは隔年で開催されますが、今回のASRUは2017年12月16日から20日まで、沖縄コンベンションセンターにて開催されました。 tanaka
  • 受賞者/著者 Awardees/Authors:
    Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
    tanaka
  • 受賞研究テーマ
    "Listening While Speaking: Speech Chain by Deep Learning"
     Despite the close relationship between speech perception and production, research in automatic speech recognition (ASR) and text-to-speech synthesis (TTS) has progressed more or less independently without exerting much mutual influence on each other. In human communication, on the other hand, a closed-loop speech chain mechanism with auditory feedback from the speaker’s mouth to her ear is crucial.
    In this paper, we take a step further and develop a closed-loop speech chain model based on deep learning. The sequence-to-sequence model in close-loop architecture allows us to train our model on the concatenation of both labeled and unlabeled data. While ASR transcribes the unlabeled speech features, TTS attempts to reconstruct the original speech waveform based on the text from ASR. In the opposite direction, ASR also attempts to reconstruct the original text transcription given the synthesized speech. To the best of our knowledge, this is the first deep learning model that integrates human speech perception and production behaviors. Our experimental results show that the proposed approach significantly improved the performance more than separate systems that were only trained with labeled data.

  • 受賞者のコメント Awardee's voice
     I am honored to receive this award. I am very grateful for all my co-authors, who are also my supervisors, for the discussion and feedback in this research. I also would like to express my gratitude for all lab staff & student for their comments and suggestions in the group meeting. We would like to continue working on this research and produce more interesting results in the future.

  • 外部リンク Links to:
    ASRU 2017 HP:https://asru2017.org/

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