Arabic Speech Synthesis based on HMM

被引：0

作者：

Khalil, Krichi Mohamed ^{[1
]}

Adnan, Cherif ^{[2
]}

机构：

[1] Polytech Cent Private Sch Tunis, Elect Appl Res Lab, 3 St Mohamed V, Tunis, Tunisia

[2] Sci Univ Tunis El Manar, SFT, Signal Proc Lab, Tunis 1060, Tunisia

来源：

2018 15TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS AND DEVICES (SSD) | 2018年

关键词：

HMM; Speech Synthesis; Text to Speech; Arabic Language; Statistical Parametric Speech Synthesis; Hidden Markov Model;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

this paper describes the synthesis of the Arab system based on Hidden Markov Models (HMM). HMMs have been successfully used in automatic speech recognition (ASR) from the 1970s, but recently they have been used for speech synthesis. Our synthesis system developed uses phonemes as HMM synthesis unit, Arabic database was developed for the first test. The main objective is to maintain the coherence of the consolidated text is interpreted by concatenating HMM phoneme. This method has several advantages. As it is parametric, it is possible to play on the HMM parameters change the characteristics of the voice producer. The developed model improves the quality of naturalness and intelligibility of speech synthesis in Arabic language environment.

引用

页码：1091 / 1095

页数：5

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