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Research and development of a voice quality enhancing method for alternative vocalizations by a laryngectomized person

Research Project

Project/Area Number 17K00258
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Perceptual information processing
Research InstitutionNational Institute of Advanced Industrial Science and Technology

Principal Investigator

Sasou Akira  国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究グループ長 (50318169)

Project Period (FY) 2017-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2017: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Keywords音声分析 / 食道発声音声 / 声質改善 / AR-HMM / 感情音声 / 音声情報処理
Outline of Final Research Achievements

The main purpose of this research project is to realize a speech analysis method applicable to various types of speech including not only a normal voice uttered by a periodic excitation source due to vocal cord vibration but also special voice such as an esophageal voice uttered by a non-stationary, non-periodic excitation source due to vibration at the upper part of the esophagus. We constructed a new voice analysis method that can automatically generate the optimal topology of the HMM that represents the excitation source from the observed voice signal, and can also simultaneously estimate the model parameters. Based on the proposed speech analysis method, we then investigated the feasibility of voice quality enhancing method to replace the excitation source, which is the voice quality deterioration factor of the esophageal voice, with a vocal cord excitation source estimated from the normal voice recorded before total laryngectomy and resynthesize it.

Academic Significance and Societal Importance of the Research Achievements

音声は最も重要なコミュニケーション手段であり、高齢者のみならず人が充実した社会生活を送るために重要な要素である。しかし、喉頭がんの進行などにより喉頭全摘出手術を余儀なくされ、自分の声を失う高齢者は少なくない。本研究課題で実現を目指す声質改善装置は、不幸にして自分の声を失った人が、手術前の自分の声に近い発声を取り戻し、再度、自信をもって声による人とのコミュニケーションをとれるようにすることで、積極的な社会参加を促すことを目的とする。また、声帯音源で発声する健常者音声の分析手法は従来多く提案されているが、食道発声音声のような音声を対象としたものは決して多くない。

Report

(4 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Research-status Report
  • 2017 Research-status Report
  • Research Products

    (6 results)

All 2019 2018 2017

All Journal Article (2 results) (of which Peer Reviewed: 2 results) Presentation (4 results) (of which Int'l Joint Research: 3 results)

  • [Journal Article] Generation of Artificial FO-contours of Emotional Speech with Generative Adversarial Networks2019

    • Author(s)
      松岡駿平、Yao Jiang、佐宗晃
    • Journal Title

      Proceedings of 2019 IEEE Symposium Series on Computational Intelligence (SSCI)

      Volume: 1 Pages: 1030-1034

    • DOI

      10.1109/ssci44817.2019.9002917

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Glottal inverse filtering by combining a constrained LP and an HMM-based generative model of glottal flow derivative2018

    • Author(s)
      Akira Sasou
    • Journal Title

      Speech Communication

      Volume: 104 Pages: 113-128

    • DOI

      10.1016/j.specom.2018.07.002

    • Related Report
      2018 Research-status Report
    • Peer Reviewed
  • [Presentation] Generation of Artificial FO-contours of Emotional Speech with Generative Adversarial Networks2019

    • Author(s)
      松岡駿平、Yao Jiang、佐宗晃
    • Organizer
      2019 IEEE Symposium Series on Computational Intelligence (SSCI)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] An Acoustic-based Tracking System for Monitoring Elderly People Living Alone2018

    • Author(s)
      Akira Sasou, Nyamerdene Odontsengel, Shumpei Matsuoka
    • Organizer
      4th International Conference on Information and Communication Technologies for Ageing well and e-Health
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] 病的音声のためのGRBAS尺度の自動推定に関する検討2018

    • Author(s)
      松岡 駿平, 佐宗 晃
    • Organizer
      電子情報通信学会大会
    • Related Report
      2017 Research-status Report
  • [Presentation] Automatic Identification of Pathological Voice Quality Based on the GRBAS Categorization2017

    • Author(s)
      Akira Sasou
    • Organizer
      Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2017)
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research

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Published: 2017-04-28   Modified: 2021-02-19  

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