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Embedded platform recognition method for large vocabulary quantity of voice command words

A technology of voice commands and recognition methods, applied in voice recognition, voice analysis, instruments, etc., can solve problems such as being unsuitable for embedded platforms, and achieve the effect of increasing speed, reducing storage space, and reducing computing resource requirements

Inactive Publication Date: 2010-06-23
TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

[0006] The method for using the traditional speech command word recognition proposed in the above-mentioned background technology is not suitable for the problem of the embedded platform, the present invention proposes a kind of recognition method of the large vocabulary speech command word of the embedded platform

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  • Embedded platform recognition method for large vocabulary quantity of voice command words
  • Embedded platform recognition method for large vocabulary quantity of voice command words
  • Embedded platform recognition method for large vocabulary quantity of voice command words

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Embodiment Construction

[0018] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0019] In the present invention, the preprocessing of the speech signal and the extraction of speech recognition parameters adopt the prior art. Voice information preprocessing is mainly to perform A / D conversion and gain amplification, and at the same time perform spectrum shaping and frame-based windowing processing to ensure the quasi-stationarity of frame-based voice. The extraction of recognition parameters is mainly to extract the features of the framed speech. The extracted speech features include MFCC cepstral coefficients, energy and their first-order derivative features.

[0020] Analyze the phonetic acoustic model, and build a biphone model based on the right correlation of initials, that is, the Biphone m...

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Abstract

The present invention discloses an embedded platform recognition method for a large vocabulary quantity of voice command words, belonging to the technical field of voice recognition. The method comprises the following steps: preprocessing voice signals, extracting voice recognition parameters, building a voice acoustic model, training the voice model, building a tree-shaped recognition network and applying rapid recognition search algorithm. The voice acoustic model is an inter diphonia subsidiary model based on right context dependent words of initial consonants. The tree-shaped recognition network is made by that a tree-shaped recognition network is built based on the same consonant syllables and merged with the nodes of the same consonant syllables. The rapid recognition search algorithm adopts a state level pruning strategy and a frame-synchronous word level pruning strategy for the dynamic adjustment of window width according to the tree-shaped recognition network based on the same consonant syllables. The method is improved on the traditional embedded voice recognition method. The memory and the central processing unit (CPU) resources are fully utilized, and the speed for recognizing a large vocabulary quantity of voice command words is accelerated.

Description

technical field [0001] The invention belongs to the technical field of speech recognition, and in particular relates to a method for recognizing speech command words with a large vocabulary on an embedded platform. Background technique [0002] Speech recognition technology refers to the use of machines to identify the specific content of speech from a speech signal, and is widely used in various human-computer interaction systems. With the rapid development of speech technology, especially speech recognition technology, the application of speech recognition has become more and more common, especially for some simple command word recognition systems because of its high recognition rate, stable performance, and convenient human-computer interaction. Conditions have gained more and more applications and market prospects. For example, voice-activated service robots, voice recognition toys, telephone switching systems, simple travel service navigation systems, etc. [0003] In...

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Application Information

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IPC IPC(8): G10L15/08G10L15/12
Inventor 刘加钱彦旻
Owner TSINGHUA UNIV
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