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Acoustic Analysis of Anomalous Use of Prosodic Features in a Corpus of People with Intellectual Disability

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Advances in Speech and Language Technologies for Iberian Languages (IberSPEECH 2016)

Abstract

An analysis of the prosodic characteristics of the voice of people with intellectual disability is presented in this paper. A serious game has been developed for training the communicative competences of people with intellectual disability, including those related with prosody. An evaluation of the video game was carried out and, as a result, a corpus with the recordings of the spoken turns of the game has been collected. This corpus is composed of a set of utterances produced by the target group of people with intellectual disability. The same set of sentences is pronounced by a control group of people without intellectual disability. This allows us to compare the prosodic profiles between the target and control groups. Prosodic features (F0, energy and duration) are automatically extracted and analyzed, revealing significant differences between the two groups. We trained an automatic classifier using exclusively prosodic features and 80 % of the sentences were correctly discriminated.

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Notes

  1. 1.

    This work has been partially funded by Recercaixa, ACUP, Obra Social La Caixa (project “!‘Juguemos a comunicar mejor! La mejora de la competencia prosódica como vía de integración educativa e inclusión social del alumnado con Necesidades Específicas de Apoyo Educativo” http://prado.uab.es/recercaixa/es/index.html) and by Ministerio de Economía y Competitividad (project TIN2014-59852-R “Videojuegos Sociales para la Asistencia y Mejora de la Pronunciación de la Lengua Española”).

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Correspondence to Mario Corrales-Astorgano .

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Corrales-Astorgano, M., Escudero-Mancebo, D., González-Ferreras, C. (2016). Acoustic Analysis of Anomalous Use of Prosodic Features in a Corpus of People with Intellectual Disability. In: Abad, A., et al. Advances in Speech and Language Technologies for Iberian Languages. IberSPEECH 2016. Lecture Notes in Computer Science(), vol 10077. Springer, Cham. https://doi.org/10.1007/978-3-319-49169-1_15

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  • DOI: https://doi.org/10.1007/978-3-319-49169-1_15

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