NDLI: A method for emotional speech synthesis based on the position of emotional state in Valence-Activation space

Content Provider	IEEE Xplore Digital Library
Author	Hamada, Y. Elbarougy, R. Akagi, M.
Copyright Year	2014
Description	Author affiliation: Acoust. Inf. Sci. Lab., Japan Adv. Inst. of Sci. & Technol., Nomi, Japan (Hamada, Y.; Elbarougy, R.; Akagi, M.)
Abstract	Speech to Speech translation (S2ST) systems are very important for processing by which a spoken utterance in one language is used to produce a spoken output in another language. In S2ST techniques, so far, linguistic information has been mainly adopted without para- and non-linguistic information (emotion, individuality and gender, etc.). Therefore, this systems have a limitation in synthesizing affective speech, for example emotional speech, instead of neutral one. To deal with affective speech, a system that can recognize and synthesize emotional speech is required. Although most studies focused on emotions categorically, emotional styles are not categorical but continuously spread in emotion space that are spanned by two dimensions (Valence and Activation). This paper proposes a method for synthesizing emotional speech based on the positions in Valence-Activation (V-A) space. In order to model relationships between acoustic features and V-A space, Fuzzy Inference Systems (FISs) were constructed. Twenty-one acoustic features were morphed using FISs. To verify whether synthesized speech can be perceived as the same intended position in V-A space, listening tests were carried out. The results indicate that the synthesized speech can give the same impression in the V-A space as the intended speech does.
Starting Page	1
Ending Page	7
File Size	529735
Page Count	7
File Format	PDF
ISBN	9786163618238
DOI	10.1109/APSIPA.2014.7041729
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-09
Publisher Place	Cambodia
Access Restriction	Subscribed
Rights Holder	Asia-Pacific Signal and Information Processing Ass
Subject Keyword	Databases Feature extraction Speech Acoustics Frequency measurement Mathematical model Equations
Content Type	Text
Resource Type	Article

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