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English oral automatic grading method and system

A spoken language and English technology, applied in the field of signal processing, can solve the problems of evaluation score distribution and poor channel robustness, and achieve the effects of strong distinction, reasonable score distribution, strong noise and channel robustness

Active Publication Date: 2015-10-21
PACHIRA INFORAMTION TECH BEIJING CO LTD +1
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AI Technical Summary

Problems solved by technology

However, the existing scoring system for spoken English does not distribute the evaluation scores reasonably, and the channel robustness is poor

Method used

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  • English oral automatic grading method and system
  • English oral automatic grading method and system
  • English oral automatic grading method and system

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Embodiment Construction

[0045] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0046] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof.

[0047] Those sk...

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PUM

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Abstract

The invention provides an English oral automatic grading method and system. The method comprises the steps of: extracting multi-frame voice characteristics of voice signals to be detected; inputting the multi-frame voice characteristics into a depth nerve network DNN model, and extracting a frame posterior probability of each frame voice characteristic, wherein the DNN model is trained in advance, the input of the DNN model is the frame voice characteristics, and the output is the frame posterior probabilities of the frame voice characteristics to different pronunciations; carrying out distribution statistics on the frame posterior probability of each frame voice characteristic, and obtaining the global characteristic of the voice signals to be detected; and carrying out grading on the global characteristic by using a multilayer forward nerve network model MLP. Compared with a conventional grading method based on GMM, the method provided by the invention is high noise and channel robustness, higher discrimination is realized for pronunciation quality, and the distribution of obtained scores is more reasonable.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to an automatic scoring method and system for spoken English. Background technique [0002] With the development of computer technology, more and more learning software can help people learn foreign languages ​​more conveniently. At present, most computer-assisted foreign language learning software mainly focus on the training of writing application ability and language comprehension ability, but rarely pay attention to the training of oral pronunciation ability. The application of speech processing technology can realize the automatic scoring of oral pronunciation in English learning. [0003] The current mainstream oral English scoring system is divided into two types: the overall scoring system and the comparative scoring system. The overall scoring system does not provide standard pronunciation, and directly tests the standard pronunciation of the speaker, so it need...

Claims

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Application Information

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IPC IPC(8): G10L15/01G10L15/02G10L15/06
Inventor 王东李全忠胡博
Owner PACHIRA INFORAMTION TECH BEIJING CO LTD
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