Abstract

While Prior Subspace Analysis (PSA) has proved an effective tool for transcribing mixtures of snare, kick drum and hi-hat both in the "drum-only" case and in the presence of pitched instruments attempts to extend it to deal with increased numbers of drum types have met with mixed results.To overcome this an automatic modeling and grouping procedure has been developed which groups drum events on the similarity of their frequency content. Combining this procedure with PSA allows the extension of PSA to robustly handle greater numbers of drum types. The effectiveness of this approach is demonstrated in a drum transcription algorithm.