Fractal-feature-based intelligent wheelchair voice identification control method and system

A fractal feature, speech recognition technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problem that the performance of speech recognition technology is difficult to further improve.

Inactive Publication Date: 2011-09-14
CHONGQING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

However, since the speech signal is a complex nonlinear process, it is difficult to further improve the

Method used

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  • Fractal-feature-based intelligent wheelchair voice identification control method and system
  • Fractal-feature-based intelligent wheelchair voice identification control method and system
  • Fractal-feature-based intelligent wheelchair voice identification control method and system

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Embodiment Construction

[0087] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings; it should be understood that the preferred embodiments are only for illustrating the present invention, rather than limiting the protection scope of the present invention.

[0088] image 3 It is a flowchart of an embodiment of the present invention; the intelligent wheelchair voice recognition control method based on fractal features provided by the present invention comprises the following steps:

[0089] S1: Voice signal command word input;

[0090] S2: Preprocessing the voice signal;

[0091] S3: extracting the characteristic parameters of the preprocessed speech signal;

[0092] S4: Pattern matching the characteristic parameters with the templates of the template library;

[0093] S5: Select the template with the highest matching similarity as the recognition result;

[0094] S6: converting the recognition result into a motion comm...

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Abstract

The invention discloses a fractal-feature-based intelligent wheelchair voice identification control method, and relates to a voice identification method. The method comprises the following steps of: first, inputting a voice signal; then, performing preprocessing and feature parameter extraction; and finally, performing matching judgment with a template in a template library to acquire a command to control an intelligent wheelchair. A mixed feature parameter obtained by organically combining a fractal feature parameter of the voice signal and a conventional Mel frequency ceptral coefficient (MFCC) feature parameter improves the identification rate of a system, is used for the voice identification in a voice control system, realizes the precise control of the intelligent wheelchair, and fulfils the aim of voice interaction between a user and the wheelchair; and simultaneously, the mixed feature parameter extraction method is also suitable for other voice identification systems. In addition, the invention also discloses a fractal-feature-based intelligent wheelchair voice identification control system. The method comprises a voice signal input module, a preprocessing module, a feature parameter extraction module, a matching module, a judgment module, a command conversion module and a control module.

Description

technical field [0001] The invention relates to the field of computer voice recognition control, in particular to a fractal feature-based voice recognition intelligent wheelchair control method. Background technique [0002] With the development of society and the improvement of human civilization, the service needs of people, especially the elderly and the disabled, will increase day by day. They increasingly need to use modern high-tech to improve their quality of life and freedom of life. No matter in the world or in our country, the process of population aging is accelerating. In addition, due to various traffic accidents, natural and man-made disasters and various diseases, tens of thousands of people lose one or more abilities (such as walking, hands-on, etc.) every year. ability, etc.), this social reality has promoted the application of intelligent service robots in helping the elderly and the disabled. Therefore, as an important research field in the series of prod...

Claims

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Application Information

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IPC IPC(8): G10L15/02G10L15/04G10L15/28G10L17/22
Inventor 张毅罗元李敏蔡军谢颖林海波黄璜李艳花
Owner CHONGQING UNIV OF POSTS & TELECOMM
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