摘要
根据语音合成与语音识别等语音应用研究的需求,从文本分析模块入手,第一次利用"维吾尔语语音声学参数库",选择了带有塞音和塞擦音的556个双音节词,重点提取了塞音、塞擦音的位置在双音节词的词中和词尾时嗓音起始时间VOT特征参数并对此进行了统计分析,首次从实验语音学的角度提出了清塞音、清塞擦音送气、不送气的概念。通过分析得出结论:(1)利用VOT均值可以明显地把维吾尔语中的塞音、塞擦音从清浊类别上区分开来。(2)从嗓音起始时间类型上来看,清塞音出现在双音节词第二音节的音节首(词中)时表现出不送气的特点,而位置出现在第二音节的音节末(词尾)时,有时读成送气音,有时读成不送气音,根据实际情况和个人发音习惯的不同可以自由变读。研究结果对维吾尔语语音合成自然度和语音识别系统识别率的提高有非常大的作用。
Based on the research needs of the application of phonetics such as speech synthesis and speech recognition, this work mainly focus on VOT(Voice-Onset Time)in Uyghur based on the text analysis module, which is also the first systematic empirical work. The purpose is to enhance the naturalness of Uyghur speech synthesis and speech recognition system. The experimental analysis is based on an acoustic database recorded by two speakers, one male and one female. This database contains VOT values of 556 disyllabic words including voiceless plosives and voiceless affricates. In this paper, the concepts of aspirated and unaspirated consonant are introduced for the first time from the view of experimental phonetics. It is concluded that: voiced and voiceless plosives, affiricates can be effectively distinguished by using VOT features; word-initial voiceless plosives and affiricates sometimes are aspirated and sometimes unaspirated, but they are unaspirated only in word-medial position. There are three levels for the word-final position:weakly aspirated, moderately aspirated and strongly aspirated.
出处
《计算机工程与应用》
CSCD
2013年第10期223-227,246,共6页
Computer Engineering and Applications
基金
国家自然科学基金资助项目(No.61063023)
教育部新世纪优秀人才支持计划资助项目(No.NCET-10-0969)