Survey of Content-based Music Information Retrieval
نویسنده
چکیده
As the digital music becomes more and more popular and huge, there are a wide range of music services, especially in music information retrieval (MIR). With the rapid progress of the information science and technology, the content-based music analysis and processing become hot area. MIR seeks to utilize the theory of music to better search database of music contents through musical expressed queries, that is to say, searching music by music. This area research has significant commercial and research promise in nowadays. This paper mainly gives a comprehensive review of the latest year’s research on MIR. In addition, some key techniques and approaches to MIR will also be introduced, particularly focusing on content-based MIR. Some main issues of content-based MIR will also be summarized. Moreover, the paper also introduces some basic music terms, concepts and music processing basics. At the same time, some high level abstraction such as semantic description has broadened the future of MIR.
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