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Recognition method of digital music emotion

A recognition method and digital technology, applied in speech recognition, character and pattern recognition, speech analysis, etc., can solve problems such as non-recognition

Inactive Publication Date: 2009-12-09
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0005] The invention provides a digital music emotion recognition method, which solves the problem that the existing digital music emotion recognition method cannot recognize the digital music format based on sampling, adopts multi-class support vector machine classification technology, and combines acoustic feature parameters and music theory Feature parameters for emotion recognition of digital music

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  • Recognition method of digital music emotion
  • Recognition method of digital music emotion
  • Recognition method of digital music emotion

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Embodiment Construction

[0134] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0135] Such as figure 1 As shown, the present invention includes (1) preprocessing step; (2) feature extraction step; (3) multiclass support vector machine training step; (4) identification step.

[0136] This embodiment is based on the four music emotion databases established by Cyril, Pompeu Fabra University, Spain, etc., including four emotions of happiness, sadness, excitement, and excitement. There are 100 digital music files for each emotional music in the database, and the duration of each music file is 60 seconds. Divide each type of emotional digital music file in the database into two parts according to the ratio of 9:1, one part is used as a sample training data set, and the other part is used as a data set to be identified.

[0137] 1. Preprocessing steps

[0138] After the digital music files to be recognized and the digital music files ...

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Abstract

The invention relates to a recognition method of digital music emotion, belonging to the field of computer pattern recognition; the recognition method solves the problem that the existing recognition method of digital music emotion can not recognize sampling-based digital music format, the sorting technology based on a multi-class support vector machine is adopted, acoustic characteristic parameters and music theory characteristic parameters are combined, so as to carry out emotion recognition of digital music; the recognition method comprises the following steps: (1) pretreatment; (2) characteristic extraction; (3) training the multi-class support vector machine; (4) recognition. The music emotion is classified into happiness, impassion, sadness and relaxation, the emotion recognition is carried out based on a sampling-based digital music format file, the common acoustic characteristics in the speech recognition field are not only extracted, and a series of music theory characteristics are extracted according to the theory characteristics of music; meanwhile, the sorting method based on the support vector machine is adopted, the leaning speed is rapid, the sorting precision ratio is high and the recognition efficiency is improved.

Description

technical field [0001] The invention belongs to the field of computer pattern recognition, and in particular relates to a digital music emotion recognition method. Background technique [0002] Now, people hope that computers have human intelligence, so that the communication between man and machine is as smooth as the communication between people, so that the computer can play a greater role. As an important part of human intelligence, emotional intelligence is considered to be an essential and even the most critical factor for a person to succeed. Therefore, in order for a computer to have human intelligence, it must have emotional intelligence. [0003] Music is the art of sound, and its most obvious feature is its strong emotional color. Many thoughts and feelings that cannot be accurately described in language can be expressed through music. The emotion recognition problem of digital music is to hope that computers can also identify the emotional factors carried by di...

Claims

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Application Information

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IPC IPC(8): G10L15/00G06K9/62G10L25/63
Inventor 王天江刘芳陈刚龚立宇余艳李新仕姜鑫维
Owner HUAZHONG UNIV OF SCI & TECH
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