小波变换用于语音压缩和去噪

F. Chelali, Noureddine Cherabit, A. Djeradi, L. Falek
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引用次数: 6

摘要

本文主要研究了离散余弦变换(DCT)和离散小波变换(WT)对语音的压缩,然后讨论了分组小波对语音的去噪。提出了包小波的有效性,以减少声信号中噪声的影响。存在几种音频压缩标准;这些标准的建立是为了开发工具来压缩音频信号,同时尊重标准。用峰值信噪比(PSNR)和均方误差来评价声压缩质量。与DCT相比,小波变换取得了较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wavelet transform for speech compression and denoising
We are interested in this paper in speech compression using Discrete Cosine Transformation DCT and the discrete wavelet transform WT, then speech denoising using packet wavelet is discussed. The efficiency of the packet wavelets is presented to reduce the effect of noise in an acoustic signal. Several audio compression standards exist; these standards are established to develop tools to compress an audio signal while respecting the standards. Peak Signal to Noise Ratio (PSNR) and mean square error are used to evaluate the quality of the acoustic compression. Good results are obtained with Wavelet transform compared to DCT.
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