Method for conducting spoken language correction through speech recognition technology and language learning machine

A speech recognition and learning machine technology, applied in the field of language learning machines, can solve problems such as poor listening and speaking skills, and achieve the effect of improving listening skills and improving oral pronunciation

Inactive Publication Date: 2015-07-15
王萍丽
View PDF0 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, there is a lack of a language environment for foreign language learning and practice in China. Foreign language listening and speaking are difficult points in foreign language teaching. Most English teaching in schools still focuses on foreign language theoretical knowledge. Most of the foreign languages ​​students learn are still "dumb English". The level is relatively high, and the listening and speaking ability is very poor. At present, there is no good method and tool for foreign language listening and speaking.

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 for conducting spoken language correction through speech recognition technology and language learning machine
  • Method for conducting spoken language correction through speech recognition technology and language learning machine
  • Method for conducting spoken language correction through speech recognition technology and language learning machine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] Such as figure 1 Shown, a kind of method that applies speech recognition technology to carry out spoken language correction, the step of this method is:

[0028] Step 1: The user performs oral pronunciation into the microphone according to the source information;

[0029] Step 2: Recognize the spoken pronunciation of the user through speech recognition technology;

[0030] Step 3: The recognized spoken pronunciation information is displayed in text form;

[0031] Step 4: The user judges whether the spoken pronunciation is standard and accurate by comparing the recognized text with the source information. If the recognition result is inconsistent with the source information, correct the spoken pronunciation and repeat the above process. If they are consistent, proceed to the next cycle.

Embodiment 2

[0033] Such as figure 2 Shown, a kind of method that applies speech recognition technology to carry out spoken language correction, the step of this method is:

[0034] Step 1: Perform standard pronunciation through voice playback.

[0035] Step 2: The user performs oral pronunciation into the microphone according to the source information;

[0036] Step 3: Recognize the spoken pronunciation of the user through speech recognition technology;

[0037] Step 4: The recognized spoken pronunciation information is displayed in text form;

[0038] Step 5: The user judges whether the spoken pronunciation is standard and accurate by comparing the recognized text with the source information. If the recognition result is inconsistent with the source information, correct the spoken pronunciation and repeat the above process. If they are consistent, proceed to the next cycle.

Embodiment 3

[0040] Such as image 3 As shown, the language learning machine includes a housing 1, a power supply 2, a microphone 3, a loudspeaker 4, an audio input and output module 5, a voice recognition module 6, a central processing unit 7, a display module 8 and a storage unit 9, and the audio input and output module 5 and Speech recognition module 6 and central processing unit 7 are connected, and speech recognition module 6, storage unit 9, display module 8 are connected with central processing unit 7 respectively, and storage unit 9 is stored with speech recognition database, and speech recognition module 6 transfers speech recognition database to audio The voice signal that input-output module 5 inputs is analyzed, processed, and the data that has been processed is transmitted to central processing unit 7, and central processing unit 7 transmits the data transmitted by voice recognition module 6 to display module 8 by display module 8 in image form output.

[0041] The display mo...

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

The invention relates to a method for conducting spoken language correction through the speech recognition technology. Spoken language pronunciation of a user is identified through the speech recognition technology so as to correct spoken language pronunciation. The invention further relates to a language learning machine; an audio input and output module is connected with a speech recognition module and a central processing unit, and the speech recognition module, a storage unit and a display module are each connected with the central processing unit; a speech recognition database is stored in the storage unit, and the speech recognition module calls the speech recognition database to analyze and process speech signals input through the audio input and output module; and processed data are transmitted to the central processing unit, and the data transmitted through the speech recognition module is transmitted to the display module through the central processing unit so as to be output through the display module in an image mode. Image and speed comparison is carried out on pronunciations of the user and original standard pronunciations through the speech recognition technology, the pronunciation accuracy is accurately judged, correction is carried out in time, the spoken language pronunciation level is rapidly improved, and the listening level of the user can be rapidly improved.

Description

technical field [0001] The invention belongs to the field of auxiliary teaching, and in particular relates to a method for correcting oral language by using speech recognition technology and a language learning machine. Background technique [0002] At present, there is a lack of a language environment for foreign language learning and practice in China. Foreign language listening and speaking are difficult points in foreign language teaching. Most English teaching in schools still focuses on foreign language theoretical knowledge. Most of the foreign languages ​​students learn are still "dumb English". The level is relatively high, and the listening and speaking ability is very poor. At present, there is no good method and tool for foreign language listening and speaking. Contents of the invention [0003] The object of the present invention is to provide a kind of application voice recognition technology that can improve foreign language learning hearing, spoken language...

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): G09B5/06
CPCG09B5/065
Inventor 王萍丽
Owner 王萍丽
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products