摘要
语音信号稀疏分解是一种新的语音信号分解方法,可以将语音信号分解为很简洁的近似表达形式。在语音信号稀疏分解的基础上,可应用于语音处理的多个方面,如语音压缩、语音去噪和语音识别等。研究利用Matching Pursui(tMP)算法实现语音信号的稀疏分解,实验结果表明基于MP算法的语音信号稀疏分解具有较好的重建精度和较高的稀疏度。
Speech signal sparse decomposition is a new method for decomposing audio data into a compact approximate representation.Speech signal sparse decomposition can be used in compression,denoising and recognition of speech signal.This paper researches speech signal sparse decomposition with matching pursuit algorithm.At last,the simulation experiments results show that speech signal sparse decomposition based on matching pursuit algorithm has better reconstructive precision and higher sparsity.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第5期144-146,共3页
Computer Engineering and Applications
关键词
稀疏分解
过完备库
匹配追踪算法
sparse decomposition
over-complete dictionary
matching pursuit algorithm
