Att-HACK: An Expressive Speech Database with Social Attitudes

Clément Le Moine (1) , Nicolas Obin (1)

1 Analyse et synthèse sonores [Paris]

This paper presents Att-HACK, the first large database of acted speech with social attitudes. Available databases of expressive speech are rare and very often restricted to the primary emotions: anger, joy, sadness, fear. This greatly limits the scope of the research on expressive speech. Besides, a fundamental aspect of speech prosody is always ignored and missing from such databases: its variety, i.e. the possibility to repeat an utterance while varying its prosody. This paper represents a first attempt to widen the scope of expressivity in speech, by providing a database of acted speech with social attitudes: friendly, seductive, dominant, and distant. The proposed database comprises 25 speakers interpreting 100 utterances in 4 social attitudes , with 3-5 repetitions each per attitude for a total of around 30 hours of speech. The Att-HACK is freely available for academic research under a Creative Commons Licence.

Mots clés: expressivity; speech prosody; social attitude; speech database; Index Terms: expressivity

Domaines: Machine Learning [stat.ML]; Traitement du signal et de l'image [eess.SP]

Clément Le Moine, Nicolas Obin. Att-HACK: An Expressive Speech Database with Social Attitudes. Speech Prosody, May 2020, Tokyo, Japan. ⟨hal-02508362⟩