Laser & Optoelectronics Progress, Volume. 59, Issue 7, 0707001(2022)

Syllable Matching Algorithm with Spectral Peak Point Feature for Chinese Speech

Weikang Tang, Yubin Shao*, Hua Long, Qingzhi Du, Yi Peng, and Liang Chen
Author Affiliations
  • School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming , Yunnan 650500, China
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    [3] Torres-carrasquillo P A, Singer E, Kohler M A et al. Approaches to language identification using Gaussian mixture models[C](2003).

    [7] Gan T, He Y M, Huang X G et al. A fast broadcast audio comparison method[P].

    [9] Fang B, Chen J Y. Wavelet threshold denoising algorithm for removing impulse noise[J]. Laser & Optoelectronics Progress, 58, 2210016(2021).

    [10] Hua C J, Ma J K, Chen Y. Improved non-local mean denoising algorithm based on difference hash algorithm[J]. Laser & Optoelectronics Progress, 57, 141007(2020).

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    Weikang Tang, Yubin Shao, Hua Long, Qingzhi Du, Yi Peng, Liang Chen. Syllable Matching Algorithm with Spectral Peak Point Feature for Chinese Speech[J]. Laser & Optoelectronics Progress, 2022, 59(7): 0707001

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    Paper Information

    Category: Fourier Optics and Signal Processing

    Received: Jun. 7, 2021

    Accepted: Jul. 6, 2021

    Published Online: Mar. 8, 2022

    The Author Email: Shao Yubin (shaoyubin@kust.edu.cn)

    DOI:10.3788/LOP202259.0707001

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