Abstract

The main objective of this paper is to review the technologies and models used in the Automatic music transcription system. Music Information Retrieval is a key problem in the field of music signal analysis and this can be achieved with the use of music transcription systems. It has proven to be a very difficult issue because of the complex and deliberately overlapped spectral structure of musical harmonies. Generally, the music transcription systems branched as automatic and semi-automatic approaches based on the user interventions needed in the transcription system. Among these we give a close view of the automatic music transcription systems. Different models and techniques were proposed so far in the automatic music transcription systems. However the performance of the systems derived till now not completely matched to the performance of a human expert. In this paper we go through the techniques used previously for the music transcription and discuss the limitations with them. Also, we give some directions for the enhancement of the music transcription system and this can be useful for the researches to develop fully automatic music transcription system.

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