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MUSIC GENRE CLASSIFICATION METHOD AND APPARATUS

机译:音乐流派的分类方法和装置

摘要

A method for music genre classification includes generating Hidden Markov Models corresponding to a plurality of audio files, and classifying the audio files according to music genres by clustering the audio files based on the similarity between the generated Hidden Markov Models. The generating Hidden Markov Models corresponding to the plurality of audio files includes performing an Independent Component Analysis (ICA) for audio signal generated from respective audio file consisting of the plurality of audio files to generate independent signals corresponding to the audio signal, selecting at least one independent signal as a main signal among the independent signals based on energies of the generated independent signals, extracting an audio feature parameter from the main signal, and generating Hidden Markov Model for the respective audio file based on the extracted audio feature parameter.
机译:一种音乐流派分类的方法包括:生成与多个音频文件相对应的隐马尔可夫模型;以及基于所生成的隐马尔可夫模型之间的相似性,通过对音频文件进行聚类,根据音乐流派对音频文件进行分类。产生对应于多个音频文件的隐马尔可夫模型包括对从由多个音频文件组成的各个音频文件产生的音频信号执行独立分量分析(ICA),以产生对应于音频信号的独立信号,选择至少一个基于生成的独立信号的能量,在独立信号中将独立信号作为主信号,从主信号中提取音频特征参数,并基于提取的音频特征参数为各个音频文件生成隐马尔可夫模型。

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