Automated assessment and treatment of speech rate and intonation in dysarthria

Authors:
Heidi Martens;Gwen Van Nuffelen;Marc De Bodt;Tomas Dekens;Lukas Latacz;Werner Verhelst
Affiliations:
Antwerp University Hospital, Edegem, Belgium;Antwerp University Hospital, Edegem, Belgium;Antwerp University Hospital, Edegem, Belgium;Vrije Universiteit Brussel, Elsene, Belgium;Vrije Universiteit Brussel, Elsene, Belgium;Vrije Universiteit Brussel, Elsene, Belgium
Venue:
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
Year:
2013

Citing 3
Cited 0

Estimation of the number of syllables using hidden markov models and design of a dysarthria classifier using global statistics of speech

Estimation of the number of syllables using hidden markov models and design of a dysarthria classifier using global statistics of speech
Robust Speech Rate Estimation for Spontaneous Speech

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Automatic Intonation Recognition for the Prosodic Assessment of Language-Impaired Children

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Abstract

Prosody assessment and treatment in dysarthria is clinically relevant, since prosodic impairment can have a negative impact on speech intelligibility and thus on participation in daily life conversation. We propose a speech-technology based software tool that provides automated numerical and visual feedback on two important aspects of prosody: speech rate and intonation. The tool includes speech rate and intonation algorithms, both specifically developed for the analysis of Dutch dysarthric speech. The tool enables speech-language pathologists to obtain objective measures of these prosodic aspects in a standardized and fast way, and enables dysarthric speakers to practise their prosodic skills intensively without the presence of a speech-language pathologist being required.