文章基本信息

标题：Judgement of unvoiced and voiced pronunciation based on sparse feature with DCT dictionary
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作者：Lianzi Wang ; Nikos Mastorakis ; Xiaodong Zhuang 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2019
卷号：292
页码：1-7
DOI：10.1051/matecconf/201929204012
语种：English
出版社：EDP Sciences
摘要：The judgment of unvoiced and voiced sound based on sparse representation in DCT dictionary is implemented. Human pronunciation can be mainly divided into unvoiced and voiced sound. Sparse representation can represent the signal with as few coefficients as possible on a set of over-complete vectors, which can reveal the most representative features of signals. In this paper, the difference between the sparse representation of unvoiced and voiced sound is studied, based on which a method is proposed to distinguish unvoiced and voiced sound in words. The experimental results prove that the proposed method is effective.