N2 - 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. L1 - http://www.czasopisma.pan.pl/Content/104440/PDF/03_paper.pdf L2 - http://www.czasopisma.pan.pl/Content/104440 PY - 2011 IS - No 3 EP - 532 DO - 10.2478/v10168-011-0037-5 KW - speech enhancement KW - low SNR KW - auditory perception wavelet transform KW - unvoiced enhancement KW - masking effect A1 - Zhi Tao A1 - Zhao, He-Ming A1 - Zhang, Xiao-Jun A1 - Di Wu PB - Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics VL - vol. 36 DA - 2011 T1 - Speech Enhancement Based on the Multi-Scales and Multi-Thresholds of the Auditory Perception Wavelet Transform SP - 519 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/104440 T2 - Archives of Acoustics