Baird, A;
Amiriparian, S;
Cummins, N;
Alcorn, AM;
Batliner, A;
Pugachevskiy, S;
Freitag, M;
... Schuller, B; + view all
(2017)
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results.
In: Lacerda, Francisco, (ed.)
Proceedings of Interspeech 2017.
(pp. pp. 849-853).
International Speech Communication Association: Stockholm, Sweden.
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Abstract
Humanoid robots have in recent years shown great promise for supporting the educational needs of children on the autism spectrum. To further improve the efficacy of such interactions, user-adaptation strategies based on the individual needs of a child are required. In this regard, the proposed study assesses the suitability of a range of speech-based classification approaches for automatic detection of autism severity according to the com- monly used Social Responsiveness Scale ™ second edition (SRS- 2). Autism is characterised by socialisation limitations including child language and communication ability. When compared to neurotypical children of the same age these can be a strong indi- cation of severity. This study introduces a novel dataset of 803 utterances recorded from 14 autistic children aged between 4 – 10 years, during Wizard-of-Oz interactions with a humanoid robot. Our results demonstrate the suitability of support vector machines (SVMs) which use acoustic feature sets from multiple Interspeech C OM P AR E challenges. We also evaluate deep spec- trum features, extracted via an image classification convolutional neural network (CNN) from the spectrogram of autistic speech instances. At best, by using SVMs on the acoustic feature sets, we achieved a UAR of 73.7 % for the proposed 3-class task.
| Type: | Proceedings paper |
|---|---|
| Title: | Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results |
| Event: | Interspeech 2017 |
| Location: | Stockholm, Sweden |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.21437/Interspeech.2017-730 |
| Publisher version: | http://doi.org/10.21437/Interspeech.2017-730. |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | children, autism, vocal irregularities, speech classification, social responsiveness scale, SRS-2, spectral features, human-robot interaction, humanoid robotics |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10040014 |
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