Drum Track Transcription of Polyphonic Music Using Noise Subspace Projection
Drum Track Transcription of Polyphonic Music Using Noise Subspace Projection
复制标题
使用噪声子空间投影进行和弦音乐的鼓轨转录
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
G. Richard
中科院分区：
文献类型：
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作者：
Olivier Gillet;G. Richard
本文提出了一种新的复调音乐鼓转写系统。使用波段谐波/噪声分解允许抑制信号的确定性部分，这主要是由非节奏乐器贡献的。然后在残余噪声信号上进行转录，其中包含大部分节奏信息。该信号被分割，并与每个发作相关联的事件被支持向量机（SVM）分类与概率输出。用于分类的特征直接从子带信号中提取。还测试了一个额外的预处理阶段，其中使用本地化模型对实例进行重新分类。这种转录方法在十个测试序列上进行评估，每个测试序列由两个鼓手执行，并可使用不同的混音设置。整个系统对于低音鼓和小鼓的检测任务达到了84%的准确率和召回率。
This paper presents a novel drum transcription system for polyphonic music. The use of a band-wise harmonic/noise decomposition allows the suppression of the deterministic part of the signal, which is mainly contributed by nonrhythmic instruments. The transcription is then performed on the residual noise signal, which contains most of the rhythmic information. This signal is segmented, and the events associated to each onset are classified by support vector machines (SVM) with probabilistic outputs. The features used for classification are directly extracted from the sub-band signals. An additional pre-processing stage in which the instances are reclassified using a localized model was also tested. This transcription method is evaluated on ten test sequences, each of them being performed by two drummers and being available with different mixing settings. The whole system achieves precision and recall rates of 84% for the bass drum and snare drum detection tasks.