Multi-output sound source recognition method and vehicle-mounted multi-sound-source system based on method
A recognition method and multi-sound source technology, applied to frequency/direction characteristic devices, etc., can solve problems such as poor user experience and sound source errors, and achieve the effects of improving system utilization, avoiding errors, and improving user experience
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Embodiment 1
[0043] Make a linear regression judgment on the difference between the first sound data and the second sound data, such as image 3 shown, including the following steps:
[0044] S211. Obtain the difference between the first sound data and the second sound data frame by frame, and obtain a total of n difference;
[0045]S212. Set the frame as the abscissa x , set the No. i frame x i , the difference between the first sound data and the second sound data is the ordinate y , No. i The frame-to-frame difference is y i , according to this n A straight line is fitted to the set of data, and according to the actual situation, it is simplified to a one-variable linear regression, which is the straight line equation y=kx+b.
[0046] S213. Calculate the slope of the unary linear regression equation , is the mean value of the abscissa, is the average value of the ordinate, and the slope is used as a comparison value.
[0047] If the first sound data output by the origin...
Embodiment 2
[0050] Judgment is made by calculating the variance eigenvalues of the first sound data and the second sound data respectively, such as Figure 4 shown, including the following steps:
[0051] S221. Align the first sound data in units of frames and second sound data Calculate the variance, get the variance of the first sound data , the variance of the second sound data
[0052] S222. Variance of the first sound data Variance with second sound data do subtraction;
[0053] S223. Obtain a variance difference value, and use the variance difference value as a comparison value.
[0054] Usually, if the first sound data output by the original car main unit is the same as the second sound data output by the after-installed main unit, the two variances should be the same, that is, the comparison value is 0. A threshold range with 0 as the center can be set within the error range. If the variance difference value is within the threshold range, continue to output the sec...
Embodiment 3
[0056] After normalizing the first sound data and the second sound data, make a frame-by-frame difference, and judge according to the difference, such as Figure 5 shown, including the following steps:
[0057] S231. Perform MIN-MAX normalization processing on the first sound data and the second sound data respectively: ,in: X* is the value after normalization; X is the value before normalization; min is the minimum value of the sampling data set; max is the maximum value of this sampling data set.
[0058] S232. Acquire the normalized first sound data frame by frame and second sound data difference ,in .
[0059] S233. The difference of each frame Add to get the difference and , and taking this difference and as a comparison value.
[0060] Normally, if the first sound data output by the original car head unit is the same as the second sound data output by the after-installed head unit, the difference between them per frame should be 0, the difference...
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