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

Automatic oral English marking method based on feature fusion

A technology of automatic scoring and feature fusion, applied in speech analysis, speech recognition, instruments, etc., can solve the problem that the automatic scoring system is not an ideal system and does not consider grammatical structure.

Active Publication Date: 2017-06-13
山东山大鸥玛软件股份有限公司
View PDF6 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

An automatic scoring system is still not a complete ideal system if it only scores from the perspective of phonetics, without considering the grammatical structure of the expressed content

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
  • Automatic oral English marking method based on feature fusion
  • Automatic oral English marking method based on feature fusion
  • Automatic oral English marking method based on feature fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions protected by the present invention will be clearly and completely described below using specific embodiments and accompanying drawings. Obviously, the implementation described below Examples are only some embodiments of the present invention, but not all embodiments. Based on the embodiments in this patent, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this patent.

[0064] The present invention provides an automatic scoring method for spoken English based on feature fusion, such as Figures 1 to 7 As shown, the methods include:

[0065] At present, transcribing speech into text through speech recognition is no longer a problem. However, due to the uneven oral proficiency of the candidates taking the test, the answer texts of the candidates must also ...

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 provides an automatic oral English marking method based on feature fusion. A multi-feature fusion method is used for marking intonation tests in a test of oral English in large scale. A continuous speech signal and a speech recognition text are used as research objects, and the intonation tests in the test of oral English are analyzed from two different angles consisting of speech and text. On the one hand, input speech is analyzed, and a speech feature is extracted and matched and compared with a reference standard; on the other hand, the speech recognition text is compared with the reading text via a text alignment method, and a marking mechanism gives assessment and a mark according to a similarity level. Experimental results show that the method is relatively low in algorithm complexity, and a marking result accords with subjective sensation of people.

Description

technical field [0001] The invention relates to the field of audio processing, in particular to an automatic scoring method for spoken English based on feature fusion. Background technique [0002] At present, the computer-aided evaluation system has gradually become one of the research hotspots. Especially in large-scale examinations, it has begun to gradually replace teachers, which will become a major change in the education world. With the development of speech recognition technology, speech evaluation system has gradually developed. It mainly evaluates human pronunciation by computer. Such a system not only scores accurately, but also greatly improves efficiency and saves manpower. [0003] There are two types of scoring for speaking test questions: one is scoring from the perspective of pronunciation, and the other is scoring from the perspective of text. Scores based purely on phonetics are primarily concerned with acoustic features such as pronunciation, frequency...

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): G10L15/02G10L15/10G10L19/02
CPCG10L15/02G10L15/10G10L19/02
Inventor 马磊陈义学陈霞
Owner 山东山大鸥玛软件股份有限公司
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com