Music rhythm detection method based on frequency domain and time domain and storage medium
A detection method and rhythm technology, applied in speech analysis, instruments, etc., can solve the problems of false detection, unreachable, and missed detection of rhythm points, and achieve the effect of avoiding false detection and missed detection and improving accuracy
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Embodiment 1
[0068] Please refer to figure 2 , The first embodiment of the present invention is: a music rhythm detection method based on frequency domain and time domain, which can be applied to light control and object control, including the following steps:
[0069] S1: Acquire audio data of music.
[0070] S2: Framing the time domain signal of the audio data, and analyze the short-term energy of each frame to obtain the time-domain energy mutation point; that is, analyze the short-term energy change of the audio data in the time domain, and find the The energy mutation point, specifically, includes the following steps:
[0071] S201: Framing the time domain signal of the audio data according to the preset frame length and frame shift. The short-term energy refers to the energy in a short period of time, and the short period of time usually refers to one frame, that is, the energy in one frame period is the short-term energy. Therefore, in order to analyze the change of the short-term ener...
Embodiment 2
[0117] This embodiment is a computer-readable storage medium corresponding to the above-mentioned embodiment, on which a computer program is stored, and when the program is executed by a processor, the following steps are implemented:
[0118] Acquire audio data of music;
[0119] Framing the time-domain signal of the audio data, and analyzing the short-term energy of each frame to obtain the time-domain energy mutation point;
[0120] Dividing the audio data according to a preset frequency range to obtain a first frequency band group, and obtaining energy mutation points of each frequency band in the first frequency band group, respectively, to obtain the first frequency domain energy mutation points;
[0121] According to the frequency range corresponding to the human voice and / or each musical instrument, the audio data is divided to obtain a second frequency band group, and the energy mutation points of each frequency band in the second frequency band group are respectively obtained...
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