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Many attempts have been conducted to add emotions to synthesized speech [1]. Few are done for the Arabic language. In the present paper, we introduce a work done to incorporate emotions: anger, joy, sadness, fear and surprise, in an educational Arabic text-to-speech system. After an introduction about emotions, we give a short paragraph of our text-to-speech system, then we discuss our methodology...
This paper presents the Interactive Arabic Dictionary (IAD) developed at the Higher Institute for Applied Sciences and Technology (HIAST). IAD is an interactive web application based on the “Al-Wasseet” dictionary. It provides the different meanings of words with examples and multimedia illustrations. IAD presents also other related information like associated words, semantic domains, expressions,...
Morphological analysis is an important step in the process of Arabic language processing which became a must in today's IT development. We present here a new approach for Arabic root extraction. Our algorithm outperforms most other morphological analysis algorithms; we achieved more reliable results with better performance and minimal storage. Our Morphological analyzer provides different levels of...
Text-to-speech is a crucial part of many man-machine communication applications, such as phone booking and banking, vocal e-mail, and many other applications. In addition to many other applications concerning impaired persons, such as: reading machines for blinds, talking machines for persons with speech difficulties. However, the main drawback of most speech synthesizers in the talking machines,...
The goal of this paper is to present an emotional audio-visual Text to speech system for the Arabic Language. The system is based on two entities: un emotional audio text to speech system which generates speech depending on the input text and the desired emotion type, and un emotional Visual model which generates the talking heads, by forming the corresponding visemes. The phonemes to visemes mapping,...
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