Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for recognizing voice commands

一种语音命令、识别方法的技术,应用在语音识别、语音分析、仪器等方向,能够解决误识率提高、语音识别系统误识率高等问题,达到计算量小、提高识别精度、降低误识率的效果

Active Publication Date: 2014-08-06
TENCENT TECH (SHENZHEN) CO LTD +1
View PDF3 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, the misrecognition rate of the existing speech recognition system is very high, especially in a noisy environment, the misrecognition rate will be further increased

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for recognizing voice commands
  • Method and system for recognizing voice commands
  • Method and system for recognizing voice commands

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Below in conjunction with accompanying drawing and specific embodiment the present invention will be described in further detail again

[0028] figure 1 It is a flow chart of the speech command recognition method of the present invention. see figure 1 , the method includes:

[0029] Step 101 , perform acoustic model training and calculation on speech with a precision lower than a specified level to obtain a background acoustic model, and the background acoustic model is an acoustic model with low phoneme precision.

[0030] Step 102: Perform acoustic model training and calculation on the speech with a precision higher than the specified accuracy to obtain a foreground acoustic model. The foreground acoustic model is an acoustic model with high phoneme accuracy, and the purpose is to improve the recognition accuracy of command word speech.

[0031] Of course, the above step 101 and step 102 are not necessarily in strict order, and can also be performed at the same tim...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A method of recognizing speech commands includes generating a background acoustic model for a sound using a first sound sample, the background acoustic model characterized by a first precision metric. A foreground acoustic model is generated for the sound using a second sound sample, the foreground acoustic model characterized by a second precision metric. A third sound sample is received and decoded by assigning a weight to the third sound sample corresponding to a probability that the sound sample originated in a foreground using the foreground acoustic model and the background acoustic model. The method further includes determining if the weight meets predefined criteria for assigning the third sound sample to the foreground and, when the weight meets the predefined criteria, interpreting the third sound sample as a portion of a speech command. Otherwise, recognition of the third sound sample as a portion of a speech command is forgone.

Description

technical field [0001] The present application relates to the technical field of Automatic Speech Recognition (ASR, Automatic Speech Recognition), in particular to a voice command recognition method and system. Background technique [0002] Automatic speech recognition technology is a technology that converts the lexical content in human speech into computer-readable input characters. Speech recognition has a complex processing flow, mainly including model training, decoding network construction, and decoding. [0003] Voice command recognition technology is a specific application of automatic voice recognition technology. Its main function is that the user does not need to use keyboard, mouse, touch screen and other input devices, as long as the voice of the command word is spoken, the voice command recognition system will automatically recognize the voice. The corresponding character string, if the character string is the character string corresponding to the command word...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/28G10L15/06
CPCG10L15/20G10L15/063G10L15/083G10L2015/223G10L15/14G10L15/32G10L2015/088
Inventor 岳帅卢鲤张翔谢达东刘海波陈波刘荐
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products