Sound event recognition method based on optimized parallel model combination

A recognition method and sound technology, which are applied in speech recognition, speech analysis, instruments, etc., can solve the problems that the recognition rate is not ideal, and the noise characteristics cannot be well characterized, so as to achieve a good recognition effect and ensure the effect of robustness.

Inactive Publication Date: 2013-09-18
PEKING UNIV SHENZHEN GRADUATE SCHOOL
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Problems solved by technology

[0009] Most of the existing methods still use a set of speech recognition, and the noise processing is no more than the above methods. Among the above methods, the PMC-based method can fully describe the environmental noise and is widely used. They can fully mine the environmental noise. information to...

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  • Sound event recognition method based on optimized parallel model combination
  • Sound event recognition method based on optimized parallel model combination
  • Sound event recognition method based on optimized parallel model combination

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[0037] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. It should be understood that the described embodiments are only some of the embodiments of the present invention, not all of them. example. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0038] The present invention recognizes five kinds of sound events that often occur in the indoor environment and need to attract people's attention. In addition, fully considering the situation of complex noise (air-conditioning noise recorded in the indoor environment, babble noise of the public noise database NoiseX-92), using the GMM mixed Gaussian model (GMM, "Speech Signal Processing" 2nd edition, edited by Zhao Li, mechanical ...

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Abstract

The invention relates to a sound event recognition method based on optimized parallel model combination. The sound event recognition method includes 1) recording data of a sound event, acquiring a GMM (Gaussian mixture model) according to clean sound event training, and establishing a clean sound event template; 2) acquiring noise data in current environment in indoor actual noisy environment, acquiring a GMM according to the noise data training, and establishing a noise template; 3) processing the noise template and the clean sound event template by the method of optimized parallel model combination, and obtaining a template of a sound event with noise; 4) sampling to obtain sample signals of the sound event with noise, recognizing sound of the sample signals according to the parameters in the template of the sound event with noise. According to the sound event recognition method, a GMM capable of describing background noise feature distribution better is established as one input in a PMC (portable media center) method, a clean GMM of five sound events is established at another input in the PMC. Meanwhile, robustness of a recognition system to noises is guaranteed.

Description

technical field [0001] The invention belongs to the field of audio signal processing in intelligent monitoring, and relates to a sound event recognition method in an indoor environment, in particular to a sound event recognition method based on an improved parallel model combination. Background technique [0002] Compared with the mature speech recognition methods in the field of artificial intelligence, using computers to recognize sound events is a relatively new research direction in recent years. Sound event recognition is aimed at automatic judgment and classification of sound events that have a certain meaning or can reflect people's behavior in the natural environment. In the home intelligent monitoring system, the recognition of sound events can help people remotely monitor what happens in the home indoor environment, and inform users of what kind of events have occurred in time, which is beneficial for users to deal with them in a timely manner. However, there are ...

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Application Information

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IPC IPC(8): G10L15/06G10L15/02
Inventor 刘宏王一李晓飞
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL
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