Emotion-Based Music Information Retrieval Using Lyrics
Emotion-Based Music Information Retrieval Using Lyrics
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基于情感的歌词音乐信息检索
DOI：
10.1007/978-3-319-24369-6_52
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Yuko Yamashita
中科院分区：
文献类型：
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作者：
Akihiro Ogino;Yuko Yamashita
在本文中，我们提出了一个基于情感的音乐信息检索歌词信息的研究。听众希望通过使用来自音乐图书馆的信息系统来搜索适合他/她的情感（音乐印象）的音乐的歌词。作为听众需求的解决方案，我们设计了一个系统，该系统基于听众从9种情感和9种印象中选择的适合听众感受的情感（或印象）来检索音乐的歌词。本文利用自然语言处理技术，从歌词的过渡部分中选取表达情感的词，即动词和形容词。我们利用同义词词典将这些词归纳为代表词。我们通过使用机器学习方法建立了一个模型，该模型估计了听众对代表性词语的9种情绪/印象。听众想知道为什么系统推荐的音乐适合他/她的情感/印象。因此，我们选择与听众的情感/印象最相关的代表性词语，并使用所选词语作为对听众的原因解释。我们为9名被试分别建立了情绪和印象模型，并对模型的准确性进行了评价。我们还调查了与情感/印象相关的代表词。
In this paper, we present a study on emotion-based music information retrieval using lyrics information. Listeners want to search the lyrics of music suitable for his/her emotion (impression of music), by using an information system from music libraries. As a solution of listeners’ needs, we have designed a system that retrieve the lyrics of music based on the emotion (or the impression) suitable for a listener’s feelings that the listener has selected, from 9 emotions and 9 impressions. We select the words, i.e. verb and adjective, from the bridge part of the lyrics of music that express emotion in lyrics by using natural language processing. We summarize the words into the representative words by using a dictionary of synonyms. We make a model that estimates a listener’s 9 emotion/impression of the representative words by using a machine learning method. And listeners want to understand why the recommended music by a system is suitable for his/her emotion/impression. Therefore, we select the representative words most related to a listener’s emotion/impression and we use the selected words as the explanation of reason to a listener. We have made each model of emotion and impression for 9 subjects and have evaluated the accuracy of the model. We also have investigated the selected representative words related to emotion/impression.