基于倒谱的印度古典音乐主音音高识别方法

Ashwin Bellur, H. Murthy
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引用次数: 8

摘要

这项工作解决了在印度古典音乐主音音高识别的任务。低音或坦布拉琴是印度古典音乐的主音。提出了一种基于倒谱的音高提取技术来识别坦布拉鼓的调音。我们表明,通过识别演奏的低八度音符Sadja,可以准确地识别主音的音高。通过对低能框架的基音进行估计,可以更快、更准确地识别主音。为了进一步提高识别速度,并说明主音的普遍性,提出了一种基于非负矩阵分解(NMF)技术的主音识别方法。通过在大型数据集上的测试验证了所提出的方法,并报告了接近100%的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A cepstrum based approach for identifying tonic pitch in Indian classical music
This work addresses the task of tonic pitch identification in Indian classical music. The drone or the tambura establishes the tonic in Indian classical music. A cepstrum based pitch extraction technique is proposed to identify the tuning of the tambura. We show that by identifying the musical note Sadja in the lower octave of a performance, the pitch of the tonic can be identified accurately. We also show that by estimating pitch of low energy frames, tonic can be identified with greater speed and higher accuracy. In order to further enhance the speed and also illustrate the ubiquitous nature of the tonic, a Non-Negative Matrix Factorization (NMF) technique based method is developed to identify tonic. The proposed methods are validated by testing on a large varied dataset and accuracies close to 100% is reported.
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