CAJ | 학술논문

基于音乐语义标签的音乐相似计算研究是音乐信息检索领域的另一个新的热点.该文提出一种基于标签挖掘的歌曲分类方法,以Last.fm音乐网站上的用户标签为特征进行歌曲相似性研究.文中将文本聚类中常用的潜在语义分析(LSA)方法和改进的K-means聚类方法相结合,应用于音乐语义标签的自动抽取；从音乐网站last.fm上抽取了6大类600首歌曲的8000多个用户标签作为音乐语义特征,并利用LSA进行歌曲向量的降维,形成了一个表示歌曲间相似关系的600×150维向量矩阵.最后利用K均值,根据音乐歌曲间的相似度进行歌曲分类,完成歌曲相似性比较.实验结果同没有LSA降维前及已有的HCC结果比较表明,使用文中提出的基于音乐标签的模型对歌曲进行分类,能得到较好的分类效果.
기우음악어의표첨적음악상사계산연구시음악신식검색영역적령일개신적열점.해문제출일충기우표첨알굴적가곡분류방법,이Last.fm음악망참상적용호표첨위특정진행가곡상사성연구.문중장문본취류중상용적잠재어의분석(LSA)방법화개진적K-means취류방법상결합,응용우음악어의표첨적자동추취；종음악망참last.fm상추취료6대류600수가곡적8000다개용호표첨작위음악어의특정,병이용LSA진행가곡향량적강유,형성료일개표시가곡간상사관계적600×150유향량구진.최후이용K균치,근거음악가곡간적상사도진행가곡분류,완성가곡상사성비교.실험결과동몰유LSA강유전급이유적HCC결과비교표명,사용문중제출적기우음악표첨적모형대가곡진행분류,능득도교호적분류효과.
Music similarity calculation based on semantic tags is a new hot spot in music information retrieval.In this paper,a method for music classification using tags on web mining has been presented,and make the user tags from last.fm as features to study the music similarity.We apply Latent Semantic Analysis (LSA) was appljed and K-means clustering method was improvedto automatic tag extraction.More than 8,000 tags of 600 rongs of 6 categories extracted from Last.fm are as music semantic feature.LSA is for dimension reduction and form a 600 × 150 matrix representing the similarities of songs.Finally,improved k-means get the clustering results according to the similarity between music.By the comparison of clustering results of the proposed method,clustering without LSA and Hierarchical Combined Clustering,our proposed method in this paper can get a better result in music classification.