Spoken language evaluation method and device based on phonemes and electronic equipment

A phoneme and spoken language technology, applied in speech analysis, speech recognition, instruments, etc., can solve the problems of general evaluation effect, poor phoneme distinction or alignment performance, etc., to achieve good phoneme alignment effect, accurate recognition results, and high-quality data volume not enough effect

Active Publication Date: 2021-05-28
北京一起教育科技有限责任公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current oral language evaluation method does not perform well in t

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
  • Spoken language evaluation method and device based on phonemes and electronic equipment
  • Spoken language evaluation method and device based on phonemes and electronic equipment
  • Spoken language evaluation method and device based on phonemes and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] Embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention.

[0027] figure 1 A flow chart of a phoneme-based spoken language evaluation method provided by an embodiment of the present invention is shown. Such as figure 1 As shown, the method includes:

[0028] Step 101: Setting up the evaluation model, the evaluation model includes an encoding sub-model, an alignment output sub-model and a recognition output sub-model; the encoding sub-model is used to encode the input data into feature vectors, and the alignment output sub-model is used to determine the corresponding phonemes according to the feature vectors The alignment information, recognition output sub-model is used to determine the recognition result of each phoneme in the input data according to the feature vector and phoneme alignment information.

[0029] In the embodiment of the present invention, the evaluation model mainly include

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 a spoken language evaluation method and device based on phonemes and electronic equipment, and the method comprises the steps: setting an evaluation model; training the coding sub-model and the alignment output sub-model, and then training the recognition output sub-model under the condition of keeping the coding sub-model unchanged; inputting the target voice data into an evaluation model, determining a feature vector and phoneme alignment information of the target voice data, and determining an identification result of each phoneme in the target voice data based on the identification output sub-model; and determining an evaluation result of the target voice data according to the standard answer and the recognition result of each phoneme in the target voice data. According to the spoken language evaluation method and device based on the phonemes and the electronic equipment provided by the embodiment of the invention, the characteristics of mass data can be learned, and the phoneme alignment effect is relatively good; and a large amount of high-quality data is not needed, so that the problem of insufficient high-quality data volume in the training process is effectively solved.

Description

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

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
Owner 北京一起教育科技有限责任公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products