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2003
Conference Paper
Title
Extraction of drum tracks from polyphonic music using independent subspace analysis
Abstract
The analysis and separation of audio signals into their original components is an important prerequisite to automatic transcription of music, extraction of metadata
from audio data, and speaker separation in video conferencing. In this paper, a method for the separation of drum tracks from polyphonic music is proposed. It consists of an Independent Component Analysis and a subsequent partitioning of the derived components into subspaces containing the percussive and harmonic sustained instruments.
With the proposed method, different samples of popular music have been analyzed. The results show sufficient separation of drum tracks and non-drum tracks for
subsequent metadata extraction. Informal listening tests prove a moderate audio quality of the resulting audio signals.
from audio data, and speaker separation in video conferencing. In this paper, a method for the separation of drum tracks from polyphonic music is proposed. It consists of an Independent Component Analysis and a subsequent partitioning of the derived components into subspaces containing the percussive and harmonic sustained instruments.
With the proposed method, different samples of popular music have been analyzed. The results show sufficient separation of drum tracks and non-drum tracks for
subsequent metadata extraction. Informal listening tests prove a moderate audio quality of the resulting audio signals.