基于音素及其特征参数的维吾尔语音合成技术

The Phoneme Feature Based Uyghur Speech Synthesis

首先建立了由维吾尔语中的单音素、双音素所构成的小规模语音语料库,设计了相应的拼接单元挑选算法,利用参数调整算法对拼接单元语音信号的时长、基频和短时能量等特征参数进行调整,并利用时域平滑算法对拼接点处的语音参数进行调整,从而进一步提高了合成语音的自然度。用C Sharp编程语言实现了上述算法,试验结果表明研究思路和技术方案的可行性。该系统具有语料库小,合成语音的可懂度和自然度较高等优势。

This system first establishes the small speech corpus including single phoneme and double phoneme segmented by recorded words from selected sentences in Uyghur language. Afterwards, it designs the unit selection algorithm and employs the parameter adjustment algorithm to adjust parameters like length, pitch frequency and short --term energy in the speech signal. Finally it applies the time domain smoothing algorithm in adjusting speech parameters at the concatenated points so as to enhance the naturalness of synthesized speech. The whole process is developed by C # , and experimental results proves the feasibility of the proposed scheme and technology. The system has advantages of small speech corpus, relatively high understandability and naturalness for the synthesized speech.