Music data identification method and device based on multi-voice, equipment and storage medium

Abstract

The invention relates to the field of artificial intelligence, and discloses a music data identification method and device based on multi-voice, equipment and a storage medium, which are used for improving the accuracy of identifying single-voice music data. The music data identification method comprises the steps of acquiring multi-voice music data, adopting a convolutional neural network to convert the multi-voice music data into a music sequence, wherein the music sequence comprises a pitch sequence and a rhythm sequence; inputting the music sequence into a multi-voice music identification model for recursive convolution to generate a plurality of sample music score sequence groups; according to the plurality of sample music score sequence groups, a pre-trained music language model and a conditional probability model, generating a plurality of matching probability groups, the plurality of sample music score sequence groups being in one-to-one correspondence with the plurality of matching probability groups; and determining a plurality of pieces of target single-voice music data in the plurality of sample music score sequence groups based on the plurality of matching probability groups. In addition, the invention also relates to a block chain technology, and the multi-voice music data can be stored in a block chain.

Description

technical field [0001] The invention relates to the technical field of speech processing, in particular to a multi-part-based music data recognition method, device, equipment and storage medium. Background technique [0002] Multi-part music is composed of multiple instruments, and different instruments have different sound characteristics. Sometimes relevant personnel need to extract the accompaniment part or the score of a certain instrument, so as to decompose a piece of music into a single sample score data, and then New score data can be generated from individual sample score data. [0003] In the prior art, an unrestricted polyphonic learning algorithm is mainly used to recognize polyphonic music, but this unrestricted polyphonic learning algorithm will generate a large output space when recognizing polyphonic music , cannot accurately identify monophonic music data in a larger output space. Contents of the invention [0004] The invention provides a method, device...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, an unrestricted polyphonic learning algorithm is mainly used to recognize polyphonic music, but this unrestricted polyphonic learning algorithm will generate a large output space when recognizing polyphonic music , cannot accurately identify monophonic music data in a large output space

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