MATEC Web Conf.
Volume 292, 201923rd International Conference on Circuits, Systems, Communications and Computers (CSCC 2019)
|Number of page(s)||7|
|Published online||24 September 2019|
Judgement of unvoiced and voiced pronunciation based on sparse feature with DCT dictionary
1 1College of Electronics and Information, Qingdao University, 266071, Qingdao, China
2 2Technical University of Sofia, Bulgaria
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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