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Contribution to the Creation of an Arabic Expressive Speech Corpus

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In this article we present the methodology employed for the design and evaluation of a Basic Arabic Expressive Speech corpus (BAES-DB). The corpus, which has a total length of approximately 150 minutes, is constituted of 13 speakers uttering a set of 10 sentences while simulating 3 emotions (joy, anger and sadness) in addition to a neutral utterance. The 10 sentences have been selected to meet phonetic equilibrium and absence of emotional content criteria, from a corpus of sentences proposed in Boudraa [1]. The corpus was evaluated through various tests of guided categorization, performed through a website. The overall good recognition rate is currently at 83.03%, with sadness being the most well recognized type of expressive speech (90.93%) and joy being the least well recognized (73.87%).
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Document Type: Research Article

Publication date: September 1, 2015

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  • Acta Acustica united with Acustica, published together with the European Acoustics Association (EAA), is an international, peer-reviewed journal on acoustics. It publishes original articles on all subjects in the field of acoustics, such as general linear acoustics, nonlinear acoustics, macrosonics, flow acoustics, atmospheric sound, underwater sound, ultrasonics, physical acoustics, structural acoustics, noise control, active control, environmental noise, building acoustics, room acoustics, acoustic materials, acoustic signal processing, computational and numerical acoustics, hearing, audiology and psychoacoustics, speech, musical acoustics, electroacoustics, auditory quality of systems. It reports on original scientific research in acoustics and on engineering applications. The journal considers scientific papers, technical and applied papers, book reviews, short communications, doctoral thesis abstracts, etc. In irregular intervals also special issues and review articles are published.
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