Speech Enhancement Based on the Multi-Scales and Multi-Thresholds of the Auditory Perception Wavelet Transform

• Autorzy: Tao Z. , Zhao H. M. , Zhang X-J. , Wu D.
• Języki publikacji: EN

Abstrakty

EN

This paper proposes a speech enhancement method using the multi-scales and multi-thresholds of the auditory perception wavelet transform, which is suitable for a low SNR (signal to noise ratio) environment. This method achieves the goal of noise reduction according to the threshold processing of the human ear’s auditory masking effect on the auditory perception wavelet transform parameters of a speech signal. At the same time, in order to prevent high frequency loss during the process of noise suppression, we first make a voicing decision based on the speech signals. Afterwards, we process the unvoiced sound segment and the voiced sound segment according to the different thresholds and different judgments. Lastly, we perform objective and subjective tests on the enhanced speech. The results show that, compared to other spectral subtractions, our method keeps the components of unvoiced sound intact, while it suppresses the residual noise and the background noise. Thus, the enhanced speech has better clarity and intelligibility.

Słowa kluczowe

EN

speech enhancement; low SNR; auditory perception wavelet transform; unvoiced enhancement; masking effect

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2011
• Tom: Vol. 36, No. 3
• Strony: 519--532
• Opis fizyczny: Bibliogr. 18 poz., tab., wykr.

Twórcy

autor

Tao Z.

autor

Zhao H. M.

autor

Zhang X-J.

autor

Wu D.

• Soochow University School of Electronic Information Suzhou 215006, China,

Bibliografia

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