A compositional automatic music transcription system for computer synthesized music

作者：Yi Guo^*

来源：International Journal of Advancements in Computing Technology, 2012, 4(6): 165-173.

DOI：10.4156/ijact.vol4.issue6.20

• Automatic music transcription
• Content-based music retrieval
• Fundamental frequency estimation
• Good research
• Harmonic matching
• Iterative deletion
• Low rates
• Machine learning methods

Automatic music transcription can be widely used for content-based music retrieval, low rate coding and automatic musical accompaniment system and so on. Multiple fundamental frequency estimation, or Multiple-F0 estimation, is one of the most important problems in automatic music transcription, but it has not been well resolved up to now. This paper presents a machine learning methods using harmonic matching and iterative deletion for computer- synthesized music specifically to Multiple-F0 estimation and builds an efficient automatic music transcription system. Computer synthesized music is almost free from similar instruments of the differences between different individuals, so it is a good research object. It can be shown in this paper that the experimental results indicate that this method has very good recognition results.

• 出版日期2012
• 单位电子科技大学