Spoken language evaluation method and device

An evaluation method and oral language technology, applied in the field of language recognition, can solve the problems of low accuracy of tone discrimination, small distinction between tones, and large gaps in the scores of initials and finals, so as to improve the accuracy of judgment, reduce the large difference in judgment effect, The effect of improving accuracy
CN112331180APending Publication Date: 2021-02-05BEIJING YUANLI WEILAI SCI & TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
BEIJING YUANLI WEILAI SCI & TECH CO LTD
Publication Date
2021-02-05

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Abstract

The invention provides a spoken language evaluation method and device. The spoken language evaluation method comprises the steps: obtaining a to-be-evaluated audio and an evaluation text correspondingto the to-be-evaluated audio; determining an attribute characteristic value of each phoneme in the evaluation text and a posterior probability corresponding to each phoneme based on the to-be-evaluated audio and the evaluation text; extracting a pronunciation characteristic value corresponding to the evaluation text based on the evaluation text and the posterior probability corresponding to eachphoneme; generating a characteristic vector corresponding to each phoneme according to the attribute feature value and the pronunciation feature value of each phoneme; and inputting the characteristicvector corresponding to each phoneme into a spoken language evaluation model to obtain an evaluation result output by the spoken language evaluation model. According to the spoken language evaluationmethod provided by the invention, the pronunciation characteristic value corresponding to each phoneme is introduced, and the potential error of the current pronunciation can be accurately explored.Multi-dimensional characteristic information is provided for a spoken language evaluation model, and the judgment accuracy of initial consonants, final consonants and tones is improved.
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Description

technical field

[0001] The present application relates to the technical field of language recognition, and in particular, to a spoken language evaluation method and apparatus, a computing device, and a computer-readable storage medium. Background technique

[0002] Spoken language assessment refers to the overall evaluation of a person's speaking level from different dimensions by using speech recognition technology given text and audio. Features such as the Goodness of Pronunciation of each phoneme are used to judge the speaking level of the speaker according to these features.

[0003] With the development of Natural Language Processing (NLP), the Deep Neural Network (DNN) model can convert audio into frame-level phoneme pronunciation posterior probability. Based on this, the neural network-based pronunciation goodness (Neural Network-Goodness of Pronunciation, GOP-NN) is defined as the log-phoneme posterior probability ratio between the standard phoneme and the phoneme w...

Claims

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