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Voice-pathology analysis based on automatic topology generation of glottal source HMM

Research Project

Project/Area Number 26330216
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, 知能システム研究部門, 主任研究員 (50318169)

Project Period (FY) 2014-04-01 – 2017-03-31
Project Status Completed (Fiscal Year 2016)
Budget Amount *help
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Keywords音声分析 / 声帯音源 / AR-HMM / 病的音声 / 声帯疾患 / 嗄声 / 聴覚印象評価 / 喉頭がん / GRBAS尺度 / 音声合成 / 食道発声音声 / 声質改善
Outline of Final Research Achievements

Voice-pathology detection from a subject's voice is a promising technology for the pre-diagnosis of larynx diseases. Glottal source estimation in particular plays a very important role in voice-pathology analysis. To more accurately estimate the spectral envelope and glottal source of the pathology voice, we propose a method that can automatically generate the topology of the Glottal Source Hidden Markov Model, as well as estimate the Auto-Regressive (AR)-HMM parameter by combining the AR-HMM parameter estimation method and the Minimum Description Length-based Successive State Splitting algorithm.

Report

(4 results)
  • 2016 Annual Research Report   Final Research Report ( PDF )
  • 2015 Research-status Report
  • 2014 Research-status Report

Research Products

(4 results)

All 2016 2015 2014

All Presentation (4 results) (of which Int'l Joint Research: 2 results)

  • [Presentation] An evaluation of the automatically topology-generated auto-regressive hidden Markov model with regard to an esophageal voice enhancement task2016

    • Author(s)
      佐宗晃
    • Organizer
      5th joint meeting of the acoustical society of America and acoustical society of Japan
    • Place of Presentation
      Hilton Hawaiian Village Waikiki Beach Resort Honolulu, Hawaii, America
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Voice-pathology analysis based on AR-HMM2016

    • Author(s)
      佐宗晃
    • Organizer
      Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC2016
    • Place of Presentation
      Ramada Plaza Jeju, Korea
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 駆動源HMMの出力分布に基づいた病的音声識別2015

    • Author(s)
      佐宗晃
    • Organizer
      日本音響学会2015年春季研究発表会
    • Place of Presentation
      中央大学後楽園キャンパス(東京都)
    • Year and Date
      2015-03-16
    • Related Report
      2014 Research-status Report
  • [Presentation] Accuracy Evaluation of Esophageal Voice Analysis Based on Automatic Topology Generated-Voicing Source HMM2014

    • Author(s)
      佐宗晃
    • Organizer
      15th Annual Conference of the International Speech Communication Association, Interspeech 2014
    • Place of Presentation
      シンガポール
    • Year and Date
      2014-09-16
    • Related Report
      2014 Research-status Report

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Published: 2014-04-04   Modified: 2018-03-22  

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