基于智能可穿戴设备的乐音对比算法

doi:10.3969/j.issn.0255-8297.2017.06.004

Abstract

Abstract:

We introduce a novel algorithm for music comparison based on intelligent wearable devices. The algorithm includes three steps. First, the note initial point is identified with an average amplitude method, and frequency information obtained with short time Fourier transform according to the characteristics of music. Second, the basic frequency is extracted with subharmonic summation and minimum variance methods to locate music note accurately. Third, the real-time music and standard music are compared both in the frequency and time domains to detect errors in terms of Euclidean distance. Experiments show that the algorithm has low computational complexity, good real-time performance and high accuracy. It is suitable for music comparison based on intelligent wearable device.

Key words: basic frequency extraction, realtime, intelligent wearable device, music comparison, subharmonic summation

CLC Number:

TP301.6

YE Yang, ZHANG Xue-fan, LIU Yuan, WANG Chen, HUANG Qing. Music Comparison Algorithm Based on Intelligent Wearable Device[J]. Journal of Applied Sciences, 2017, 35(6): 706-716.

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Music Comparison Algorithm Based on Intelligent Wearable Device

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