Musical instrument performance analysis and evaluation method
An analysis method and technology of musical instruments, applied in the field of performance skills learning, can solve the problems of difficult quantification of performance skills, poor effect, inability to achieve real-time processing, etc., and achieve the effect of wide applicability and manpower saving.
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Embodiment 1
[0057] Such as figure 1 , 3 Among them, a musical instrument performance analysis method includes the following steps:
[0058] 1. Audio collection; in this example, smart devices with an operating system of Android or iPhone, such as mobile phones and tablets, are used as hardware to collect audio recordings. The sampling rate of sound by hardware devices is different for different hardware, but each device has its own fixed value: fs (sampling rate), unit Hz (hertz). The hardware device has a minimum sampling time in the sampling process: t unit: s (seconds), that is, the hardware device samples once every t seconds, from which the number of samples obtained by one sampling can be calculated.
[0059]2. Add a Hanning window to the collected sampling samples; preferably, in this example, h(n)=0.5-0.5×cos(2πn / (N-1)) (0≤n<N-1) or h (n)=0 (other) where n is a single sample and N is the window size.
[0060] 3. Use the FFTW transformation library to perform FFT transformation...
Embodiment 2
[0073] On the basis of Example 1, such as figure 1 , 3 , 4, a method for evaluating using the above-mentioned musical instrument performance analysis method, comprising the following steps:
[0074] 1. Obtain a standard audio format; preferably, convert an audio file that is not in the wav format into the wav format.
[0075] 2. Obtain the standard staff according to the standard audio format;
[0076] preferred as image 3 , get the bit rate Rb from the file, unit: bps;
[0077] The sampling rate fs can be calculated from the bit rate Rb;
[0078] According to the sampling rate, read the byte stream of the audio file at the same time as playing the staff to obtain sampling samples;
[0079] Add a Hanning window to the collected sampling samples;
[0080] Use the FFTW transform library to perform real-to-real FFT transform on the windowed samples to obtain the double array M, the length of the M array is L; then the frequency of f (Hz) corresponding to the array M can be...
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