Song comparison method and device, equipment, medium and product

Abstract

The invention discloses a song comparison method and device, equipment, a medium and a product. The method comprises the steps that audio data of an original song and audio data of a compared song are acquired respectively; extracting multi-scale deep semantic information of audio data of an original song by adopting a feature extraction model trained to a convergence state, and correspondingly obtaining an original high-dimensional vector; extracting multi-scale deep semantic information of audio data of a compared song by adopting the feature extraction model, and correspondingly obtaining a compared high-dimensional vector; and calculating the similarity between the original high-dimensional vector and the compared high-dimensional vector, judging whether a corresponding similarity value is greater than a first preset threshold value or not, and judging that the compared song and the original song form a turning-singing relationship when the corresponding similarity value is greater than the first preset threshold value. According to the method and the device, the turning and singing relationship between the original song and the compared song can be identified, and the method and the device are applicable to application scenes of song infringement judgment, turning and singing identification and the like.

Description

technical field [0001] The present application relates to the technical field of music information retrieval, and in particular, to a song comparison method and its corresponding apparatus, computer equipment, computer-readable storage medium, and computer program product. Background technique [0002] Song cover recognition technology has a wide range of uses. In an exemplary application, for the purpose of copyright protection, it is often necessary to compare the original song with the candidate song to identify whether the two are sufficiently similar to make a candidate song. The determination of whether the copyright of the original song is infringed. [0003] At present, with the popularity of short videos, live broadcasts, and radio stations, the number of cover music is increasing, and the scenes that require music recognition are becoming more and more complex. Compared with the original version, the cover version may have differences or even completely different ...

AI Technical Summary

Problems solved by technology

[0004] There are many technologies related to cover recognition in the prior art, and all existing technologies have certain deficiencies, for example: (1) the traditional technology of listening to songs and recognizing songs based on Landmark can only recognize songs of the same source, Unable to recognize the above-mentioned cover version with certain differentiated information; (2) The traditional humming recognition technology based on melody matching can only recognize clean a cappella / humming, but cannot recognize the above-mentioned cover version with background accompaniment; (3) The traditional cover recognition technology scheme mainly extracts audio features such as Pitch Class Profile (PCP), and then uses algorithms such as dynamic programming to calculate the similarity distance between songs

Due to the diversity of cover versions, the above scheme is only suitable for adapting smaller cover solutions, with low accurate recognition rate, slow recognition speed and limited compatibility

[0005] In view of the fact that the technical solutions related to cover song recognition in the prior art lack universal adaptability, the recognition accuracy rate is not high, and the recognition efficiency is low, especially in the application scenario of copyright infringement comparison, the applicant tries to explore More effective technical solutions

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