Arabic HMM-based speech synthesis

K. M. Khalil, Cherif Adnan
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引用次数: 23

Abstract

This paper describes the Arabic system synthesis on hidden Markov models (HTS). Our developed synthesis system uses phonemes as HMM synthesis unit, Arabic database was developed for the first test. The main objective is to maintain the consolidated text coherence which is interpreted by concatenating HMM phoneme. In our experiments, spectral properties were represented by Mel cepstrum coefficients. For the waveform synthesis, a noise or pulse excited corresponding MLSA filter was utilized. Besides that basic setup, a high-quality analysis/synthesis system STRAIGHT was employed for more sophisticated speech representation. This method has several advantages. As it is parametric, it is possible to play on the HMM parameters, change the producer voice characteristics. The developed model improves the speech synthesis, naturalness and intelligibility quality in the Arabic language environment.
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基于阿拉伯语hmm的语音合成
本文描述了隐马尔可夫模型(HTS)上的阿拉伯系统综合。我们开发的合成系统以音素为HMM合成单元,开发了阿拉伯语数据库进行首次测试。主要目的是通过连接HMM音素来保持巩固的文本连贯性。在我们的实验中,光谱性质用梅尔倒谱系数表示。波形合成采用噪声或脉冲激励相对应的MLSA滤波器。除了这个基本的设置,一个高质量的分析/合成系统STRAIGHT被用于更复杂的语音表示。这种方法有几个优点。由于是参数化的,所以可以对HMM参数进行播放,改变制作人的声音特征。该模型提高了阿拉伯语环境下的语音合成、自然度和可理解性。
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