Automatic transcription of drum recordings

Miha Pešič (2016) Automatic transcription of drum recordings. EngD thesis.

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Abstract

Detection and transcription of drum hits from audio files is a problem, currently without an optimal solution. Multiple methods give satisfactory results but perfect transcription is hard to achieve because of lack of information in the digital recording. Approach using non-negative matrix factorization assumes that we have access to isolated recordings of every drum sound we wish to detect. Short-term Fourier transform yields separate transformations for each time frame. Isolated drum spectrograms are used for non-negative matrix factorization, the result of which we can then use for onset detection and signal synthesis. A transcription system for three different drum sounds was implemented. We tested the system in two separate scenarios and compared the results.

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