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11 Applications of Machine Learning to Music Research: Empirical Investigations into the Phenomenon of Musical Expression 99419-811 이 인 복

Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object]

Expressive music performance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

The nature and importance of background knowledge ,[object Object],[object Object],[object Object],[object Object],[object Object]

Approach I : Learning at the note level ,[object Object],[object Object],[object Object],[object Object],[object Object]

The Qualitative domain theory ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

IBL-SMART(1/3) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

IBL-SMART(2/3) ,[object Object],[object Object],[object Object]

IBL-SMART(3/3) ,[object Object],[object Object]

Experiment ,[object Object],[object Object],[object Object],[object Object],[object Object]

Learning at the structure level ,[object Object],[object Object],[object Object],[object Object]

Learning at the structure level ,[object Object],[object Object],[object Object]

Learning at the structure level ,[object Object],[object Object],[object Object],[object Object],[object Object]

Learning at the structure level ,[object Object]

An experiment ,[object Object],[object Object]

A machine learning analysis of real artistic performances ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Quantitative analysis ,[object Object],[object Object],[object Object]

Useful qualitative results for musicology ,[object Object],[object Object],[object Object]

Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object]

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