The TORGO database of acoustic and articulatory speech from speakers with dysarthria.

This paper describes the acquisition of a new database of dysarthric speech in terms of aligned acoustics and articulatory data. This database currently includes data from seven individuals with speech impediments caused by cerebral palsy or amyotrophic lateral sclerosis and age- and gender-matched...

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Publicado en:Language Resources & Evaluation Vol. 46; no. 4; pp. 523 - 542
Autores principales: Rudzicz, Frank, Namasivayam, Aravind, Wolff, Talya
Formato: Artículo
Publicado: Springer Nature Dec2012
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Rudzicz, Frank
          Namasivayam, Aravind
          Wolff, Talya
        affil:
          Department of Computer Science, University of Toronto, Toronto Canada
          Holland Bloorview Kids Rehabilitation Hospital, Toronto Canada
      su:
        Databases
        Articulation disorders
        Data acquisition systems
        Pronunciation
        Microphones
        Phonetics
      sug:
        subj:
          Databases
          Articulation disorders
          Data acquisition systems
          Pronunciation
          Microphones
          Phonetics
      keyword:
        Articulation
        Dysarthria
        Speech
      ab: This paper describes the acquisition of a new database of dysarthric speech in terms of aligned acoustics and articulatory data. This database currently includes data from seven individuals with speech impediments caused by cerebral palsy or amyotrophic lateral sclerosis and age- and gender-matched control subjects. Each of the individuals with speech impediments are given standardized assessments of speech-motor function by a speech-language pathologist. Acoustic data is obtained by one head-mounted and one directional microphone. Articulatory data is obtained by electromagnetic articulography, which allows the measurement of the tongue and other articulators during speech, and by 3D reconstruction from binocular video sequences. The stimuli are obtained from a variety of sources including the TIMIT database, lists of identified phonetic contrasts, and assessments of speech intelligibility. This paper also includes some analysis as to how dysarthric speech differs from non-dysarthric speech according to features such as length of phonemes, and pronunciation errors.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Language Resources & Evaluation is a copyright of Springer, 2012. All Rights Reserved.
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