Single Channel Polyphonic Music Signal Separation Based on Bayesian Harmonic Model

摘要：

The separation of single channel polyphonic music signal has attracted significant attention in recent years, and it is also a challenging problem in sound source separation field. In this paper we propose an algorithm to separate polyphonic music signal in single channel. This algorithm estimates multiple fundamental frequencies in frequency domain and combines the Bayesian harmonic model to estimate other parameters of the music signals, and then it realizes the separation by using all the estimated parameters. The experimental results show that the proposed method can efficiently separate polyphonic music signals in single channel.

关键词： Bayesian harmonic model multiple fundamental frequency estimation parameter estimation polyphonic music signal separation

作者: Hui Wang Ying Wang Weina Wang Bing Zhu Sai Ma

作者单位: Information Engineering School, Communication University of China Beijing, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 2815-2818

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）