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Voiced and Unvoiced Sound Detection Based on Wavelet Transform

Mengyu Liu
Vol. 5, No. 3, pp. 5-8, 2025 DOI: 10.54097/sm3hf124 December 30, 2025
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Abstract.Voiced-unvoiced detection is a fundamental research topic in speech signal processing, holding significant importance for applications such as speech recognition. Addressing the differences in frequency-domain energy distribution between voiced and unvoiced sounds, this paper proposes a voiced-unvoiced detection method based on discrete wavelet transform. By performing multi-level wavelet decomposition on speech signals, the method extracts energy features from high-frequency wavelet coefficients at different scales. Combined with an energy threshold decision strategy, it achieves the distinction between voiceless and voiced consonants. Experimental results demonstrate the method's effective differentiation between voiceless and voiced consonants, showing feasibility under the selected experimental conditions.
Keywords. Speech Signal Processing Wavelet Transform Voiceless-voiced Consonant Detection Energy Features Matlab
APA Citation Mengyu Liu (2025). Voiced and Unvoiced Sound Detection Based on Wavelet Transform. Journal of Computer Science and Artificial Intelligence, 5(3), 5-8. https://doi.org/10.54097/sm3hf124

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