Abstract

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.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.