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Sound source direction identification method based on mini microphone array

A technology of microphone array and sound source orientation, applied in the field of information recognition, can solve the problem of inability to have a good positioning effect, and achieve the effect of improving the orientation recognition accuracy, improving the recognition rate, and improving the robustness.

Inactive Publication Date: 2017-06-23
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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AI Technical Summary

Problems solved by technology

However, due to the limitation of features, this kind of method cannot have a good positioning effect under the condition of small size.

Method used

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  • Sound source direction identification method based on mini microphone array
  • Sound source direction identification method based on mini microphone array
  • Sound source direction identification method based on mini microphone array

Examples

Experimental program
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Embodiment 1

[0079] The method of the invention is not affected by the voice, uses the least square support vector machine to analyze and identify the data, and has better positioning performance under the condition of small size and high reverberation.

[0080]It is the key technology of this method to perform phase transformation weighting on the sound intensity of time-frequency points in each direction and normalize after summing and averaging. To this end, an example is given to illustrate the positioning effect of the features processed in each step for training and testing. Such as Figure 4 As shown, the length, width and height of the room are 7m, 6m and 3m respectively, the center O of the microphone array is located at (3.5m, 3m, 1.2m), the distance between each array element and the center of the array is equal, and the distance between the sound source and the center O of the array is The distance R is always 2m and is at the same height as the array. The 12 classes of angle...

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Abstract

The invention discloses a sound source direction identification method based on a mini microphone array. Firstly, based on a four-array element difference array, the sound intensity of each time frequency point of each direction component is calculated, and the sound intensity of each time frequency point is subjected to phase transformation weighting. Then, the time frequency points of each direction component are subjected to sum-average operation and weighted characteristic vectors are subjected to normalization processing. Then according to the sound intensity characteristics of a three-array element orthogonal array, the sound intensity is calculated through sub-arrays, and proper characteristic vectors are constructed. Finally, a least square support vector is used for performing training and testing to obtain a sound source azimuth identification result. Compared with the prior art, the method can extract characteristic vectors with better robustness in high reverberation environments, is free of influences of speech characteristics, and is higher in error-tolerant rate and higher in orientation identification precision.

Description

technical field [0001] The invention belongs to the technical field of information identification, and in particular relates to a sound source orientation identification method based on a miniature microphone array. Background technique [0002] In practical applications, due to people's requirements for light and beautiful products, restrictions on the use of places, etc., the size of the microphone array will be constrained by various factors. At this time, it is very necessary to reduce the size of the microphone array. Therefore, the miniature microphone array The research on the method of sound source localization has practical significance and practical value. Considering the basic sound source localization methods such as the controllable response power technique has a large amount of computation, and the time delay estimation method has poor localization performance in small sizes, a sound source localization method based on the average complex sound intensity is pro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/20G01S5/22
CPCG01S5/20G01S5/22
Inventor 李妍文陈华伟晏燕宋宫琨琨
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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