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Rapid music assorting and searching method and device

A musical and fast technology, applied in the fields of electroacoustic musical instruments, special data processing applications, instruments, etc., can solve the problems of complex classification and slow classification.

Inactive Publication Date: 2009-04-01
SAMSUNG ELECTRONICS CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In said application, GMM directly uses short-term features for classification, which makes the classification more complicated and the classification speed is relatively slow

Method used

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  • Rapid music assorting and searching method and device
  • Rapid music assorting and searching method and device
  • Rapid music assorting and searching method and device

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Embodiment Construction

[0026] Embodiments of the present invention will now be described in detail with reference to the accompanying drawings, examples of which are shown in which like reference numerals designate like parts and steps throughout. The embodiments are described below in order to explain the present invention by referring to the figures.

[0027] figure 1 It is a system overview diagram of fast music classification and retrieval according to the embodiment of the present invention. Such as figure 1 As shown, when the user inputs an MP3 file, the system outputs the emotion type of the input MP3 file.

[0028] The system according to the present invention mainly includes the following three parts: MDCT-based feature extraction part 100 , new type feature vector creation part 200 and sentiment classifier 300 based on Support Vector Machine (SVM).

[0029] The MDCT-based feature extraction part 100 extracts acoustic music features from the compressed domain of a music file, especially ...

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Abstract

The invention discloses a method and equipment used for quickly sorting and searching music; wherein, the method comprises the steps as follows: a music file is input; acoustic feature of each frame of the input music file based on MDCT is extracted; the energy of each frame is calculated; the acoustic features of each frame are sorted according to the energy size; the method also comprises the steps as follows: the sorted acoustic features are divided into a plurality of sections; average value and standard offsets are calculated according to one or more sections; the calculated average value and standard offset are combined into vectors. The short-time music feature (namely MFCC and timbre characteristic) used by the method and the equipment are directly gained from MDCT coefficients; therefore, the speed of feature extraction is extremely fast. In order to sort one piece of music, only part of the music file (12s duration) needs to be decoded.

Description

technical field [0001] The present invention relates to a method of fast music classification and retrieval, and more particularly to such a method and apparatus that classifies music files according to Music files that are most similar in emotion to the particular music file are searched for. Background technique [0002] In traditional methods for automatically detecting the emotion of music, timbre features (e.g., spectral shape features, spectral contrast features) and rhythmic features (e.g., intensity features), average intensity (strength), average regularity (regularity), and average tempo ( tempo) is extracted and used to classify the emotion of music. In addition, in some traditional methods for automatically detecting the emotion of music, Gaussian Mixture Model (GMM) is used to classify the emotion of music into four categories through a hierarchical structure. However, in conventional methods for automatically detecting the emotion of music, since the features...

Claims

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Application Information

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IPC IPC(8): G06F17/30G10H1/00
Inventor 邓菁朱璇史媛媛严基完李在原
Owner SAMSUNG ELECTRONICS CO LTD
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