摘要
如何以音乐的情感为检索关键词来准确地匹配检索算法是目前研究的热点问题之一。在此,以音乐情感的模糊性特征为基础,采用模糊数学理论和AV情感向量空间模型,提出了一种音乐情感模糊检索技术:将音乐情感进行量化处理的同时,也体现一首音乐所包含的不同种类的情感;另外,同一情感类型的音乐能够按其隶属度值的高低进行智能排名,使人们能更准确地找到所需的音乐资源。通过对比实验,计算此检索方法的查全率、查准率和F值,相关度,C值、V值覆盖率和出新率等评价指标,从而证明了该检索算法的有效性。
One of the hot issues of the present study is how to match retrieval algorithm accurately while regarding the music emotion as retrieval keywords. Based on the fuzzy characteristics of emotion of music, the theory of fuzzy mathe- matics and AV emotion of vector space model were used to propose a novel music emotional fuzzy retrieval technology （MEFRT）. The most significant feature of this music emotion retrieval technology is music emotion to quantitative treatment. We can see a music contains different types of emotion from this method of retrieval. According to the mem- bership value, the same emotional type of music can be smart ranking. People can more accurately find the music re- sources by this way. In order to prove the effectiveness of the MEFRT, a series of experiments were designed, and the metrics were calculated, such as rorAll ~t~ ;~;~ ~ ..~1 1
出处
《计算机科学》
CSCD
北大核心
2013年第6期233-237,共5页
Computer Science
基金
基金教育部人文社科基金项目(10YJC88011)
湖北省自然科学基金项目(2011CDB163)
中央高校自主科研专项资金资助项目(ccnu10b01003)资助
关键词
模糊数学
音乐情感
AV情感向量空间模型
查全率
查准率
Fuzzy mathematics, Music emotion, AV emotion of vector space model, Recall ratio, Precision
