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Knowledge Based Fundamental and Harmonic Frequency Detection in Polyphonic Music Analysis

机译:基于知识基础和谐波频率检测在复音音乐分析中

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In this paper, we present an efficient approach to detect and tracking the fundamental frequency (F0) from 'wav' audio. In general, music F0 and harmonic frequency show the multiple relations; therefore frequency domain analysis can be used to track the F0. The model includes the harmonic frequency probability analysis method and useful pre-post processing for multiple instruments. Thus, the proposed system can efficiently transcribe polyphonic music, while taking into account the probability of FO and harmonic frequency. The experimental results demonstrate that the proposed system can successful transcribe polyphonic music, achieved the quite advanced level.
机译:在本文中,我们提出了一种有效的方法来检测和跟踪“WAV”音频的基本频率(F0)。一般来说,音乐F0和谐波频率呈现多种关系;因此,频域分析可用于跟踪F0。该模型包括谐波频率概率分析方法和多种仪器的有用预处理。因此,所提出的系统可以有效地转录多音音乐,同时考虑到FO和谐波频率的概率。实验结果表明,所提出的系统可以成功录制复音音乐,实现了相当高的水平。

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