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Automatic grading method and automatic grading equipment for read questions in test of spoken English

An automatic scoring and spoken language technology, applied in speech analysis, speech recognition, instruments, etc., can solve the problems of subjective scoring, shortage of rater resources, and different ratings

Active Publication Date: 2015-03-11
INST OF ACOUSTICS CHINESE ACAD OF SCI +1
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

Manual scoring is a traditional scoring method, but there are many problems that are not easy to solve, such as the shortage of rater resources, the high cost of manual evaluation, and the subjective scoring. may also be scored differently for the impact of
Especially for ultra-large-scale evaluation, manual evaluation has been difficult to meet its needs

Method used

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  • Automatic grading method and automatic grading equipment for read questions in test of spoken English
  • Automatic grading method and automatic grading equipment for read questions in test of spoken English
  • Automatic grading method and automatic grading equipment for read questions in test of spoken English

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no. 4 example

[0094] In the fourth embodiment, the present invention provides a kind of spoken English reading aloud automatic scoring equipment, it is characterized in that, comprises:

[0095] A module for preprocessing the input speech, including framing processing;

[0096] A module for extracting speech features;

[0097] Using the linear grammatical network and acoustic model built by reading the text, the phonetic feature vector sequence is forced to be aligned to obtain the information of each phoneme segmentation point;

[0098] A module for calculating the posterior probability of each phoneme according to the information of each phoneme segmentation point;

[0099] A module for extracting multi-dimensional scoring features based on the posterior probability of phonemes;

[0100] According to the scoring features and manual scoring information, use the support vector regression method to train the nonlinear regression model, so as to use the nonlinear regression model to score t...

no. 5 example

[0101] In the fifth embodiment, the present invention provides a kind of spoken English reading automatic scoring equipment, it is characterized in that, comprises:

[0102] A module for preprocessing the input speech, including framing processing;

[0103] The extraction method extracts a module of speech features;

[0104] Using the linear grammatical network and acoustic model built by reading the text, the phonetic feature vector sequence is forced to be aligned to obtain the information of each phoneme segmentation point;

[0105] A module for calculating the posterior probability of each phoneme according to the information of each phoneme segmentation point;

[0106] A module for extracting multi-dimensional scoring features based on the posterior probability of phonemes;

[0107] A module that uses this nonlinear regression model to score spoken English reading aloud based on scoring features.

[0108] Details of various aspects of the third, fourth and fifth embodi...

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Abstract

The invention provides an automatic grading method and automatic grading equipment for read questions in a test of spoken English. According to the automatic grading method, preprocessing is carried out on input voice; the preprocessing comprises framing processing; phonetic feature is extracted from the preprocessed voice; by means of a linear grammar network and an acoustic model set up by reading texts, phonetic feature vector order is forcedly aligned to acquire information of the each break point of each phoneme; according to the information of the each break point of each phoneme, the posterior probability of each phoneme is calculated; based on the posterior probability of each phoneme, multi-dimensional grading characteristics are extracted; and based on the grading characteristics and manual grading information, a nonlinear regression model is trained by means of a support vector regression method, so that the nonlinear regression model is utilized to grade on reading of spoken English. The grading model is trained by means of expert scoring data, and therefore a result of machining grading is guaranteed not to deviate from a manual grading result in statistics, and the high simulation of a computer on the expert grading is achieved.

Description

technical field [0001] The invention belongs to the technical field of language test automatic scoring, in particular, the invention relates to a method for automatic evaluation of reading aloud questions in spoken English tests taken by non-native English test takers. Background technique [0002] As people pay more and more attention to oral English, at present, oral English test has become an important part of most English proficiency examinations. The increasing scale of the speaking test requires a large number of candidates' speaking data to be scored, which requires a lot of human resources. Manual scoring is a traditional scoring method, but there are many problems that are not easy to solve, such as the shortage of rater resources, the high cost of manual evaluation, and the subjective scoring. may also be scored differently. Especially for ultra-large-scale evaluation, manual evaluation has been difficult to meet its needs. Therefore, a machine scoring method th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L15/10G10L15/14G10L15/02G09B19/06
Inventor 颜永红张俊博潘复平
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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