Title :
Building diphone database for Arabic text to speech synthesis system
Author :
El Kadhi, Aymen ; Gherri, Fadhila ; Amiri, Hamid
Author_Institution :
Nat. Eng. Sch. of, Tunis Univ. of Tunis El Manar, Tunis, Tunisia
Abstract :
The need to integrate automatic communication systems in daily applications and technology progress has encouraged speech synthesis sector development. Many variety of voice systems synthesis exist but diphones concatenation method appears to be efficient to contribute to speech synthesis of many languages. The first task in any development of speech synthesis system is to prepare the data base used for this aim. This paper describes the process of building an Arabic speech corpus based on diphones. We developed an acoustic data base of arabic diphones by studying the different possible combinations of phonemes to list all the possible diphones.
Keywords :
audio databases; natural language processing; speech synthesis; Arabic diphones; Arabic speech corpus; Arabic text to speech synthesis system; acoustic database; automatic communication system; diphone database; diphones concatenation method; phonemes; speech synthesis sector development; voice systems synthesis; Acoustics; Buildings; Context; Databases; Digital signal processing; Speech; Speech synthesis; Arabic language; Text To Speech synthesis; corpus; database preparation; diphones; grapheme-to-phonemes conversion;
Conference_Titel :
Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on
Conference_Location :
Tlemcen
DOI :
10.1109/CEIT.2015.7233151