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 [BibTeX] [Marc21]
Comparison of 5 methods for the evaluation of intelligibility in mild to moderate French dysarthric speech
Type of publication: Conference paper
Citation: Fougeron_INTERSPEECH_2022
Publication status: Published
Booktitle: Annual Conference of the International Speech Communication Association
Year: 2022
Month: September
Pages: 2188-2192
ISSN: 2308-457X
DOI: https://doi.org/10.21437/Interspeech.2022-10590
Abstract: Altered quality of the phonetic-acoustic information in the speech signal in the case of motor speech disorders may reduce its intelligibility. Monitoring intelligibility is part of the standard clinical assessment of patients. It is also a valuable tool to index the evolution of the speech disorder. However, measuring intelligibility raises methodological debates concerning: the type of linguistic material on which the assessment is based (non-words, words, continuous speech), the evaluation protocol and type of scores (scale-based rating, transcription or recognition tests), and the advantages and disadvantages of listener vs. automatic-based approaches (subjective vs. objective, expertise level, types of models used). In this paper, the intelligibility of the speech of 32 French patients presenting mild to moderate dysarthria and 17 elderly speakers is assessed with five different methods: impressionistic clinician judgment on continuous speech, number of words recognized in an interactive face-to-face setting and in an on-line testing of the same material by 75 judges, automatic feature-based and automatic speech recognition-based methods (both on short sentences). The implications of the different methods for clinical practice are discussed.
Keywords: assessment method, clinical application, intelligibility, reliability
Projects Idiap
MOSPEEDI
Authors Fougeron, Cecile
Audibert, Nicolas
Kodrasi, Ina
Janbakhshi, Parvaneh
Pernon, Michaela
Leveque, Nathalie
Borel, Stephanie
Laganaro, Marina
Bourlard, Hervé
Assal, Frederic
Added by: [UNK]
Total mark: 0
Attachments
  • Fougeron_INTERSPEECH_2022.pdf
Notes