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Automatic Identification of Tala from Tabla Signal

机译:从Tabla信号自动识别Tala

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摘要

Tabla is the most common rhythmic instrument in Indian Classical music. A bol the fundamental unit of tabla play and it is produced by striking either or both of the two drums of tabla. Tala (rhythm) is formed with a basic sequence of bols that appears in a cyclic pattern. In this work, bob are automatically segmented from tabla signal following Attack-Decay-Sustain-Release (ADSR) model. Subsequently segmented bob are recognized using low level spectral descriptors and support vector machine (SVM). The identified bol sequence generates transcript of tabla play. A template based matching approach is used to identify tala from the transcript. Proposed system tested successfully with a variety of collection of tabla signal of different talas and it can be utilized in rhythm analysis of music. Moreover, for the learners also the system can help in analyzing their performance.
机译:Tabla是印度古典音乐中最常见的节奏乐器。 bolta弹奏的基本单位是通过敲击tabla的两个鼓中的一个或两个来产生的。 Tala(节奏)由以循环模式出现的bol的基本序列形成。在这项工作中,按照“攻击-衰减-维持-释放”(ADSR)模型,自动从tabla信号中分割出bob。随后使用低级频谱描述符和支持向量机(SVM)识别分段的鲍勃。鉴定的Bol序列产生塔布拉游戏的转录物。基于模板的匹配方法用于从转录本中识别塔拉。所提议的系统已成功测试了各种不同的talas的tabla信号,并可以用于音乐的节奏分析。此外,对于学习者来说,该系统还可以帮助分析他们的表现。

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