EXTRACTION OF DRUM TRACKS FROM POLYPHONIC MUSIC USING INDEPENDENT SUBSPACE ANALYSIS
EXTRACTION OF DRUM TRACKS FROM POLYPHONIC MUSIC USING INDEPENDENT SUBSPACE ANALYSIS
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发表时间：
2003
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通讯作者：
C. Uhle;C. Dittmar;T. Sporer
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文献类型：
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作者：
C. Uhle;C. Dittmar;T. Sporer
在视频会议中，音频信号的分析和分离是自动转录音乐、从音频数据中提取元数据和说话人分离的重要前提。本文提出了一种从复调音乐中分离出鼓声的方法。它包括独立分量分析和随后将派生分量划分为包含打击乐器和和声乐器的子空间。利用该方法对不同的流行音乐样本进行了分析。结果表明，对于后续的元数据提取，鼓轨和非鼓轨有足够的分离。非正式的听力测试证明，所产生的音频信号的音频质量中等。
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.