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Voice Driven Emotion Recognizer Mobile Phone: Proposal and Evaluations

Voice Driven Emotion Recognizer Mobile Phone: Proposal and Evaluations

Aishah Abdul Razak, Mohamad Izani Zainal Abidin, Ryoichi Komiya
Copyright: © 2009 |Pages: 18
ISBN13: 9781605660547|ISBN10: 160566054X|EISBN13: 9781605660554
DOI: 10.4018/978-1-60566-054-7.ch256
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MLA

Razak, Aishah Abdul, et al. "Voice Driven Emotion Recognizer Mobile Phone: Proposal and Evaluations." Mobile Computing: Concepts, Methodologies, Tools, and Applications, edited by David Taniar, IGI Global, 2009, pp. 3511-3528. https://doi.org/10.4018/978-1-60566-054-7.ch256

APA

Razak, A. A., Zainal Abidin, M. I., & Komiya, R. (2009). Voice Driven Emotion Recognizer Mobile Phone: Proposal and Evaluations. In D. Taniar (Ed.), Mobile Computing: Concepts, Methodologies, Tools, and Applications (pp. 3511-3528). IGI Global. https://doi.org/10.4018/978-1-60566-054-7.ch256

Chicago

Razak, Aishah Abdul, Mohamad Izani Zainal Abidin, and Ryoichi Komiya. "Voice Driven Emotion Recognizer Mobile Phone: Proposal and Evaluations." In Mobile Computing: Concepts, Methodologies, Tools, and Applications, edited by David Taniar, 3511-3528. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-054-7.ch256

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Abstract

This article proposes an application of emotion recognizer system in telecommunications entitled voice driven emotion recognizer mobile phone (VDERM). The design implements a voice-to-image conversion scheme through a voice-to-image converter that extracts emotion features in the voice; recognizes them; and selects the corresponding facial expression images from image bank. Since it only requires audio transmission; it can support video communication at a much lower bit rate than the conventional videophone. The first prototype of VDERM system has been implemented into a personal computer. The coder; voice-to-image converter; image database; and system interface are preinstalled in the personal computer. In this article; we present and discuss some evaluations that have been conducted in supporting this proposed prototype. The results have shown that both voice and image are important for people to correctly recognize emotion in telecommunications and the proposed solution can provide an alternative to videophone systems. The future works list some modifications that can be done to the proposed prototype in order to make it more practical for mobile applications.

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