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Sound source positioning method and device

A sound source location and number technology, applied in the field of location, can solve problems such as unsatisfactory effect, estimation performance needs to be improved, and unsatisfactory estimation effect

Active Publication Date: 2020-08-28
BEIJING UNISOUND INFORMATION TECH +1
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Problems solved by technology

[0003] The traditional DOA estimation method has ideal estimation accuracy in the environment with high signal-to-noise ratio, but the effect is not ideal in the environment with low signal-to-noise ratio and non-stationary noise.
The current DOA estimation method based on deep learning can effectively improve the estimation accuracy in low SNR environment, but the estimation performance under the noise of multiple people speaking at the same time still needs to be improved
At present, the recognition method for multiple people speaking at the same time is to send multi-channel speech into the model at the same time to obtain the estimated DOA value of the speech at that moment, but the robustness of this method to noise needs to be improved, and the estimation effect under noise such as babble is still the same. Not ideal, in general, existing techniques are inaccurate for multi-channel speech sound source localization with noise

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Embodiment Construction

[0068] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0069] figure 1 It is a flowchart of a sound source localization method in an embodiment of the present invention, such as figure 1 As shown, the method can be implemented as the following steps S11-S13:

[0070] In step S11, obtain the multi-channel speech to be estimated;

[0071] In step S12, a target noise reduction model and a target DOA estimation model are acquired; wherein, the target DOA estimation model may be a radial basis (RBF) neural network model meeting the requirements of the present invention.

[0072] In step S13, based on the target noise reduction model and the target DOA estimation model, perform sound source localization on the multi-channel...

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Abstract

The invention discloses a sound source positioning method and device. The method comprises the steps of obtaining to-be-estimated multi-channel voice; obtaining a target noise reduction model and a target DOA estimation model; and based on the target noise reduction model and the target DOA estimation model, carrying out sound source positioning on the to-be-estimated multi-channel voice. Throughthe technical scheme of the invention, sound source localization can be accurately carried out.

Description

technical field [0001] The present invention relates to the technical field of positioning, in particular to a sound source localization method and device. Background technique [0002] Localization of Sound (DOA) is an important technique in microphone arrays. Its function is to judge the relative direction of the target speaker and the microphone array in a noisy environment. Provides important and accurate information for subsequent beamforming operations. [0003] The traditional DOA estimation method is ideal for estimation accuracy in the environment with high SNR, but the effect is not ideal in the environment with low SNR and non-stationary noise. The current DOA estimation method based on deep learning can effectively improve the estimation accuracy in low signal-to-noise ratio environments, but the estimation performance under the noise of multiple people speaking at the same time still needs to be improved. At present, the recognition method for multiple people...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/18
CPCG01S5/18
Inventor 李庆龙关海欣
Owner BEIJING UNISOUND INFORMATION TECH
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