基于自适应多尺度压缩感知的语音压缩与重构 speech compression and reconstruction based on adaptive multiscale compressed sensing theory.pdfVIP
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基于自适应多尺度压缩感知的语音压缩与重构 speech compression and reconstruction based on adaptive multiscale compressed sensing theory
第1期 电 子 学 报 Vd.39No.1
2011年1月 ACrAEU!(叮RONICASINICA Jm. 201l
基于自适应多尺度压缩感知的语音压缩与重构
孙林慧,杨震,叶蕾
(南京邮电大学通信与信息工程学院,江苏南京210003)
摘要:本文针对语音信号的压缩感知问题,在系数总长度不超过原信号长度的前提下,推导了syrn小波分解
合成的矩阵形式,提出了语音信号多尺度压缩感知(MCs)框架.进一步分析语音信号在小波基下不同级的稀疏性,提
出了自适应多尺度压缩感知(AMcS)方法,把该方法运用到语音压缩与重构中,对重构语音进行了主客观评价,并进行
了说话人识别验证,得出结论:基于AMCS比三层MCS重构语音的性能好.
关键词:s哪小波;多尺度压缩感知;自适应多尺度压缩感知;语音压缩与重构;基追踪
中图分类号:TN912.3文献标识码: A 文章编号:0372.2112(2011)01-0040-06
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