Single-channel music singing separation method based on deep belief network

Abstract

The invention relates to a single-channel music singing separation method based on a deep relief network. The method comprises the steps that firstly, the deep relief network (DBN) is utilized for extracting high-rise abstract features facilitating accompany and singing separation, then the Back-Propagation neural network is utilized for separating accompany and singing features, and finally an overlap-add method is utilized for obtaining time-domain accompany and singing signals. According to the single-channel music singing separation method, fusion music to be separated is divided into short segments, and therefore the defect of the DBN for processing music signals of different time scales is made up; meanwhile, the capacity of the DBN for rapidly extracting the high-rise abstract features is utilized for extracting the high-rise abstract features facilitating accompany and singing separation, and finally due to the facts that the single-channel music signals belong to high-dimensional data, and the neural network has the specific processing capacity according to the problem of processing high-dimensional input and high-dimensional output, the BP neural network is selected to be used as the final singing and accompany separator. The method is easy and flexible to implement and has high practicability.

Description

technical field [0001] The invention relates to the field of separation of accompaniment and vocals of single-channel music, in particular to a method for separating singing voices of single-channel music based on a deep belief network. Background technique [0002] With the continuous development of computer signal processing technology and Internet technology, the singing separation of single-channel music has attracted more and more attention. Single-channel music and vocal separation technology is used in many systems, such as the acquisition of music accompaniment in the KTV system; in the music retrieval system, the retrieval system based on the music content is especially used in the music retrieval system based on the vocal characteristics of the singer, and the music recommendation system Singer voice characteristics to recommend music and so on. Whether it is the accompaniment acquisition in the KTV system, the music retrieval system based on the singer's voice, o...

AI Technical Summary

Problems solved by technology

These methods have achieved some success, but can not achieve the desired effect

For example, the method based on the pitch period, its own pitch period detection is an academic problem; and the method based on spectral decomposition has too many assumptions

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