计算机工程Issue(3)：287-291,5.DOI:10.3969/j.issn.1000-3428.2015.03.054
基于改进时频比的语音音乐信号分离
Speech-music Signal Separation Based on Improved Time-frequency Ratio
郭伟 1于凤芹1
作者信息
- 1. 江南大学物联网工程学院，江苏 无锡214122
- 折叠
摘要
Abstract
Time-frequency ratio is the ratio of mixed signals’ amplitudes in time-frequency domain. The inversion of the matrix composing of the corresponding time-frequency ratios which is gotten from single source points in mixed signals can obtain the estimate of the source signals. Blind source separation based on time-frequency ratio has a large amount of calculation and small number of effective time-frequency windows after transforming the signals to the time-frequency domain. Time-frequency bins comprising the repeating patterns have similar values at each period. According to this characteristic,analysis zones including a repeating period are used to detect single source points instead of the whole time-frequency domain. Using similarity coefficient matrix as the separation effect standard, simulation experimental results show that the proposed method can reduce 45. 43% of time with the same separation accuracy.关键词
时频比/单源点/线性时频变换/重复结构/节拍谱/语音音乐信号分离Key words
time-frequency ratio/single source point/linear time-frequency transform/repeating structure/beat spectrum/speech-music signal separation分类
信息技术与安全科学引用本文复制引用
郭伟,于凤芹..基于改进时频比的语音音乐信号分离[J].计算机工程,2015,(3):287-291,5.
