关键词: 语音传输, 压缩感知, 叠加序列, 特征信息辅助

Abstract: To improve the reconstruction accuracy of compressed speech transmission system without increasing the spectrum resource overhead, a method of speech compression transmission and reconstruction assisted by superimposed feature information is proposed in this paper. The feature information is extracted from the sparse speech signal. The extracted feature information is superimposed on the compressed speech signal for transmission. At the receiver, the superimposed feature information is recovered, which is employed to assist the reconstruction algorithm to reconstruct the speech signal. Compared with the traditional compressed sensing-based speech reconstruction method at higher signal-to-noise ratio or lower compression ratio, the analysis and simulation results show that the proposed method can improve the speech reconstruction accuracy without increasing the spectrum resource overhead of the transmission system.

Key words: voice transmission, compressed sensing, superimposed sequence, feature information assistance