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- W3009082984 abstract "In this paper, we propose a syllable segmentation algorithm based on peak point and energy entropy ratio. Firstly, the peak and valley of time-domain waveform envelope and energy entropy ratio are employed to segment the syllables of continuous speech, and then, the two segmentation results are fused to determine the starting and ending points of each syllable. Experimental results reveal that the algorithm can accurately segment syllables in low signal-to-noise ratio (SNR) environment. And the method has higher robustness and higher accuracy." @default.
- W3009082984 created "2020-03-13" @default.
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- W3009082984 date "2020-01-01" @default.
- W3009082984 modified "2023-09-23" @default.
- W3009082984 title "Chinese Speech Syllable Segmentation Algorithm Based on Peak Point and Energy Entropy Ratio" @default.
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- W3009082984 doi "https://doi.org/10.1007/978-981-15-0238-5_91" @default.
- W3009082984 hasPublicationYear "2020" @default.
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