16th Annual Conference of the International Speech Communication Association

Dresden, Germany
September 6-10, 2015

Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages

Erik Marchi (1), Björn Schuller (2), Simon Baron-Cohen (3), Ofer Golan (4), Sven Bölte (5), Prerna Arora (6), Reinhold Häb-Umbach (6)

(1) Technische Universität München, Germany
(2) Imperial College London, UK
(3) University of Cambridge, UK
(4) Bar-Ilan University, Israel
(5) Karolinska Institute, Sweden
(6) Universität Paderborn, Germany

Only a few studies exist on automatic emotion analysis of speech from children with Autism Spectrum Conditions (ASC). Out of these, some preliminary studies have recently focused on comparing the relevance of selected acoustic features against large sets of prosodic, spectral, and cepstral features; however, no study so far provided a comparison of performances across different languages. The present contribution aims to fill this white spot in the literature and provide insight by extensive evaluations carried out on three databases of prompted phrases collected in English, Swedish, and Hebrew, inducing nine emotion categories embedded in short-stories. The datasets contain speech of children with ASC and typically developing children under the same conditions. We evaluate automatic diagnosis and recognition of emotions in atypical children's voice over the nine categories including binary valence/arousal discrimination.

Full Paper

Bibliographic reference.  Marchi, Erik / Schuller, Björn / Baron-Cohen, Simon / Golan, Ofer / Bölte, Sven / Arora, Prerna / Häb-Umbach, Reinhold (2015): "Typicality and emotion in the voice of children with autism spectrum condition: evidence across three languages", In INTERSPEECH-2015, 115-119.