Title

Interface Databases: Design and Collection of a Multilingual Emotional Speech Database

Authors

Vladimir Hozjan (Faculty of Electrical Engineering and Computer Science, University of Maribor Smetanova17, SI - 2000 Maribor, Slovenia)

Zdravko Kacic (Faculty of Electrical Engineering and Computer Science, University of Maribor Smetanova17, SI - 2000 Maribor, Slovenia)

Asunción Moreno (TALP Research Center Departament de Teoria del Senyal, Comunicacions Universitat Politcnica de Catalunya Campus Nord, Edifici D5, 08034 Barcelona, SPAIN)

Antonio Bonafonte (TALP Research Center Departament de Teoria del Senyal, Comunicacions Universitat Politcnica de Catalunya Campus Nord, Edifici D5, 08034 Barcelona, SPAIN)

Albino Nogueiras (TALP Research Center Departament de Teoria del Senyal, Comunicacions Universitat Politcnica de Catalunya Campus Nord, Edifici D5, 08034 Barcelona, SPAIN)

Session

SO9: Emotional & Specific Databases

Abstract

As a part of the IST project Interface ("Multimodal Analysis/Synthesis System for Human Interaction to Virtual and Augmented environments"), an emotional speech database for Slovenian, English, Spanish, and French language has been recorded. The database is designed for general study of emotional speech as well as analysis of emotion characteristics for speech synthesis and for automatic emotion classification purposes. Six emotions have been defined: anger, sadness, joy, fear, disgust and surprise. The neutral styles were also recorded. One male speaker and one female speaker have been recorded, except for English language where two male and one female speaker have been recorded. All the speakers are actors. The corpora consist of 175-190 sentences for each language. For Spanish and Slovenian databases subjective evaluation tests have been made. The recorded Interface emotional speech database represents a good basis for emotional speech analysis and is also useful in synthesis of emotional speech.

Keywords

Emotional speech database, Multilingual database, Emotions, Corpus, Subjetive listening test

Full Paper

174.pdf