基于语料库的藏语韵律短语声学特征研究
A Corpus-Based Study on the Acoustic Characteristics of Prosodic Phrases in Tibetan
语句和篇章韵律结构分析与建模,是提升语音合成自然度、降低语音识别错误率的关键环节之一。文章基于韵律标注语料,系统分析了藏语韵律短语的时长与音高等声学特征,并深入探讨了其分类问题。研究结果表明,在藏语朗读过程中,主韵律短语与次韵律短语在边界停顿时长和音高走向上呈现出显著的系统性差异。其中,边界处是否出现显著停顿是区分两类短语的核心声学依据;与此同时,短语末端普遍出现音高重置现象,但主韵律短语的末端音高下降幅度更为显著。上述发现不仅深化了对藏语韵律层级的认识,并为语音合成和语音识别等技术提供声学特征依据。
Analyzing and modeling the prosodic structure of sentences and passages are essential for making speech synthesis sound more natural and for reducing speech recognition errors. Based on prosodic annotation corpora, this paper systematically studies the duration and pitch characteristics of prosodic phrases in the Tibetan language and thoroughly explores their classification. The study shows significant systematic differences in the duration of boundary pauses and pitch progression between primary prosodic phrases and secondary prosodic phrases during Tibetan reading. The presence or absence of a significant pause at the boundary serves as the core criterion for distinguishing between the two types of phrases. Additionally, pitch reset often occurs at the end of a phrase, while the drop in pitch at the end of a main prosodic phrase is especially noticeable. These findings not only deepen our understanding of the Tibetan prosodic hierarchy, but also provide valuable acoustic feature references for technologies such as speech synthesis and speech recognition.
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教育部人文社会科学研究项目(20YJA740035)
国家自然科学基金项目(62406256)
西藏自治区科技计划重点研发及转化项目(XZ202502ZY0034)
西藏自治区自然科学基金项目(XZ202501ZR0113)
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