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
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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

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  • 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

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[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 ...

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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

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Application Information

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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
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