Speech Compression with Best Wavelet Packet Transform and SPIHT Algorithm

Dan Zhao, Shengqian Ma
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引用次数: 16

Abstract

This paper proposes a new coding algorithm of speech compressing, which is based on Best Wavelet Packet Transform and SPIHT coding algorithm. The new approach applies the wavelet packet transform to process speech signal to obtain optimal wavelet tree to allocate the dynamic bits, and then uses the modified SPIHT coding algorithm to compress the coefficients from the wavelet packet transform. The entropy coding is also used to increase the compression ratio. The experiments indicate that the new approach can gain better quality signal reconstruction at high compression ratios and have a low-complexity and low-delay.
基于最佳小波包变换和SPIHT算法的语音压缩
提出了一种基于最佳小波包变换和SPIHT编码算法的语音压缩编码算法。该方法利用小波包变换对语音信号进行处理,得到最优的小波树来分配动态位,然后利用改进的SPIHT编码算法对小波包变换后的系数进行压缩。熵编码也被用于提高压缩比。实验表明,该方法可以在高压缩比下获得高质量的信号重构,并且具有低复杂度和低延迟的特点。
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