基于压缩感知的快速语音编解码方法研究  

Research on fast speech coding and decoding method based on compressed sensing

作　　者：李俊鑫 Li Junxin(Guangdong University of Technology,Guangzhou 510006,China)

机构地区：[1]广东工业大学,广东广州510006

出　　处：《无线互联科技》2021年第13期23-24,共2页Wireless Internet Technology

摘　　要：随着5G时代的来临,互联网技术在我们的生活中起着不可或缺的作用,而基于移动互联网的语音通话也成了我们生活中的日常。在面向VOIP的语音编解码中,由于压缩感知能以更少的采样点恢复完整的原始信号,有利于语音通信中的丢包恢复,因此文章将压缩感知理论用于语音编解码方法,致力于研究一种低复杂度的压缩感知语音编解码方法。实验证明,文章的方法比经典的压缩感知算法在语音重构的速度上具有一定的优势。With the advent of the 5G era,Internet technology plays an indispensable role in our lives,and mobile Internet-based voice calls have become a daily routine in our lives.In the VOIP-oriented voice codec,compressed sensing can restore the complete original signal with fewer sampling points,which is beneficial to the recovery of packet loss in voice communication,we apply the compressed sensing theory to the voice codec method and strive to study a low-complexity compressed sensing speech coding and decoding method.Experimental results show that the proposed method has a certain advantage over the classical compressed sensing algorithm in the speed of speech reconstruction.

关 键 词：VOIP 低复杂度 压缩感知 

分 类 号：TN912.3[电子电信—通信与信息系统]