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Salient phonetic features of Indian languages in speech technology

机译:语音技术中印度语言的显着语音特征

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摘要

Speech signal is the basic study and analysis material in speech technology as well phonetics. To form meaningful chunks of language, the speech signal should have dynamically varying spectral characteristics, sometimes varying within a stretch of a few milliseconds. Phonetics groups these temporally varying spectral chunks into abstract classes roughly called as allophones. Distribution of these allophones into higher level classes called phonemes takes us closer to their function in a language. Phonemes and letters in the scripts of literate languages – languages which use writing have varying degrees of correspondence. As such a relationship exists, a major part of speech technology deals with the correlation of script letters with chunks of time-varying spectral stretches in that language. Indian languages are said to have a more direct correlation between their sounds and letters. Such similarity gives a false impression of similarity of text-to-sound rule sets across these languages. A given letter which has parallels across various languages may have different degrees of divergence in its phonetic realization in these languages. We illustrate such differences and point out the problem areas where speech scientists need to pay greater attention in building their systems, especially multilingual systems for Indian languages.
机译:语音信号是语音技术以及语音技术的基础研究和分析材料。为了形成有意义的语言块,语音信号应具有动态变化的频谱特性,有时会在几毫秒的范围内变化。语音学将这些随时间变化的频谱块分组为抽象类,大致称为异音素。将这些音素分配到称为音素的更高级别的类中,使我们更接近其语言功能。识字语言的脚本中的音素和字母-使用书写的语言具有不同程度的对应关系。由于存在这样的关系,语音技术的主要部分处理脚本字母与该语言中随时间变化的频谱扩展的相关性。据说印度语言的声音和字母之间有着更直接的联系。这种相似性给人一种错误印象,即跨这些语言的文本到声音规则集的相似性。给定的字母在多种语言之间具有相似性,在这些语言的语音实现上可能会有不同程度的差异。我们说明了这种差异,并指出了语音科学家在建立系统(尤其是印度语言的多语言系统)时需要给予更大关注的问题领域。

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  • 来源
    《Sadhana》 |2011年第5期|p.587-599|共13页
  • 作者

    PERI BHASKARARAO;

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