Non-Negative Matrix Factorization Deconvolution for Multi-Instrument Transcription of Solo Drum Performances

Automatic drum transcription (ADT) is a key sub-problem of music information retrieval. While most ADT systems focus on a small set of drum instruments, such as kick, snare, and hi-hat, many practical applications require transcription of full drum kit performances. This paper presents a multi-instrument solo drum transcription method based on Non-negative Matrix Factorisation Deconvolution (NMFD). The system requires only minimal prior data collected through a soundcheck procedure. We compare various NMF-based methods and show that NMFD offers competitive performance with a low computational cost and high interpretability, making it suitable for real-world scenarios.