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Facial expression as an input annotation modality for affective speech-to-speech translation
2012 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
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Abstract [en]

One of the challenges of speech-to-speech translation is to accurately preserve the paralinguistic information in the speaker’s message. In this work we explore the use of automatic facial expression analysis as an input annotation modality to transfer paralinguistic information at a symbolic level from input to output in speech-to-speech translation. To evaluate the feasibility of this ap- proach, a prototype system, FEAST (Facial Expression-based Affective Speech Translation) has been developed. FEAST classifies the emotional state of the user and uses it to render the translated output in an appropriate voice style, using expressive speech synthesis. 

sted, utgiver, år, opplag, sider
2012.
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-185527OAI: oai:DiVA.org:kth-185527DiVA, id: diva2:922771
Konferanse
Workshop on Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction
Merknad

QC 20160426

Tilgjengelig fra: 2016-04-25 Laget: 2016-04-21 Sist oppdatert: 2016-06-02bibliografisk kontrollert

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Székely, Éva

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