Multimedia data processing method and device

Abstract

The embodiment of the invention discloses a multimedia data processing method and device. The method comprises the steps of acquiring multiple audio file samples corresponding to multimedia data, and generating target audio energy matrixes corresponding to the audio file samples respectively, wherein the audio file samples have the same frame number, and elements in each target audio energy matrix are audio energy values of different frames in a corresponding target audio file sample respectively; conducting average value processing on the audio energy values of different frames in all the target audio energy matrixes, so as to obtain a target average value matrix, wherein elements in the target average value matrix are audio energy average values of different frames; and determining a frame corresponding to the maximum audio energy average value in the target average value matrix as a target frame, and determining the refrain starting moment of the multimedia data according to the target frame. In this way, accurate position of the refrain of the multimedia data can be achieved through multiple audio file samples.

Description

technical field [0001] The invention relates to the field of multimedia technology, in particular to a multimedia data processing method and device thereof. Background technique [0002] Songs are generally composed of certain structural paragraphs such as a prelude, two verses, a chorus, interludes, repeated choruses and verses, and ending music. The chorus is usually the climax of the music we speak orally. As a symbol of a song, it can often be applied to music auditions, mobile phone ring tones, etc. In some song processing processes, it is often necessary to analyze and process the chorus, such as determining the tone of the song, music search, music recognition, and so on. [0003] Due to the complexity of the signal in the song and the differences between different songs, it has brought many difficulties to locate the chorus. Existing chorus detection methods mainly include the following methods: lyrics or score detection method, by detecting the similarity of the l...

AI Technical Summary

Problems solved by technology

[0003] Due to the complexity of the signal in the song and the difference between different songs, it brings a lot of difficulties to locate the chorus

Existing chorus detection methods mainly include the following methods: lyrics or score detection method, by detecting the similarity of the lyrics or detecting according to the features of the score, this method is highly dependent on the lyrics or score and the accuracy is not high; Feature detection methods, such as detecting the position of the chorus by repeating fragments or rhythms, can only be applied to songs with regular features, and it is difficult to meet the chorus positioning of more complex songs

Images