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Real-Time Response Pitch Discrimination Training System : A Pitch Computing Method

机译:实时响应音高判别训练系统:音高计算方法

摘要

It is meaningful to develop a Real-Time Response Pitch Descrimination System by utilizing a computing sound pitch. There are many approaches in computing sound pitch. But, no approach was seen in developing enough response-time and accuracy of frequency discrimination for pitch discrimination training. Therefore new methodology is considered to improve response-time and accuracy of frequency discrimination. In FFT (Fast Fourier Transformation), there exist mathematical relations such that(1) time_range_of_analysis^*frequency_discrimination = 1 and(2) response_time = time_range_of_analysis/2^*computing_time,which shows no improvement in both response-time and accuracy of frequency discrimination. Fortunately, there exist the fact such that many peaks of power spectrum : f[Hz], f^*2[Hz], f^*3[Hz], ・・・・・・ as the results of FFT from a single f[Hz] pitch sound.To improve both response-time and accuracy of frequency discrimination, the following new method is considered in this paper. Step1 : Compute pitch roughly from f[Hz] power spectrum peak. Step2 : Compute pitch accurately from f^*n[Hz].
机译:通过利用计算音高来开发实时响应音高描述系统是有意义的。计算音高有很多方法。但是,在为音高判别训练开发足够的响应时间和频率判别准确性方面,没有发现任何方法。因此,考虑采用新的方法来改善响应时间和频率判别的准确性。在FFT(快速傅立叶变换)中,存在以下数学关系:(1)time_range_of_analysis ^ * frequency_discrimination = 1和(2)response_time = time_range_of_analysis / 2 ^ * computing_time,这表明响应时间和频率判别的准确性都没有改善。幸运的是,存在这样一个事实:作为单个FFT的FFT结果,功率谱的许多峰值为:f [Hz],f ^ * 2 [Hz],f ^ * 3 [Hz],・ ・ ・ ・ ・ ・ [Hz]音调。为了改善响应时间和频率判别的准确性,本文考虑了以下新方法。步骤1:大致根据f [Hz]功率谱峰值计算音调。步骤2:根据f ^ * n [Hz]准确计算音调。

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