Voice behavior assessment and evaluation method for rail transit transportation simulation training

A simulation training and rail transit technology, applied in speech analysis, speech recognition, teaching aids for electrical operation, etc., can solve the problems of students not being able to know, students' voice evaluation, etc., to eliminate manual evaluation, intuitive standardization and accuracy, The effect of improving system performance

Active Publication Date: 2021-03-02
ZHENGZHOU UNIV +1
View PDF18 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the existing rail transit full-professional training simulation system cannot objectively and accurately evaluate the students' voices during the training process of each professional student ...

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
  • Voice behavior assessment and evaluation method for rail transit transportation simulation training
  • Voice behavior assessment and evaluation method for rail transit transportation simulation training
  • Voice behavior assessment and evaluation method for rail transit transportation simulation training

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] A voice behavior evaluation method for rail transit simulation training, such as figure 1 shown, including the following steps:

[0061] S101: Use intelligent speech recognition technology to recognize the voice communication information of the trainees during the training process and convert it into text information;

[0062] S102: Judging and extracting all keywords in the entire sentence through keyword recognition technology, and classifying the extracted keywords according to semantic correlation, device correlation, and technical term correlation;

[0063] S103: Obtain standard voice data after automatically recognizing the voice communication information through the deep neural network, and match the standard voice data with the voice evaluation database to obtain unique matching standard evaluation data;

[0064] S104: After comparing and analyzing the standard voice data and the standard evaluation data, it is judged whether the semantics of the voice communic...

Embodiment 2

[0098]The voice communication information is described as "the locomotive moves slightly, the allowable speed is 5 km / h, and walks to the front of the exit signal machine" as the input signal. Assume that the voice of the voice evaluation database is "the permitted speed of the locomotive is 5 km / h, and go to the exit signal machine". When the system recognizes the voice signal, it first converts the voice information into text information through the intelligent voice recognition program developed by the TTS engine in the Windows Speech SDK development kit.

[0099] Among them, the keyword recognition technology mainly compares the input signal with the keyword database one by one, and can respectively obtain the semantic-related keywords, equipment-related keywords, and technical term-related keywords contained in the input signal. The standard keyword database recognition system detects whether this input signal contains keywords. This method has a fast response speed.

[...

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 discloses a voice behavior assessment and evaluation method for rail transit transportation simulation training, which relates to the technical field of rail transit transportation simulation training, and is characterized by comprising the following steps of: converting voice communication information into text information; extracting all keywords in the whole statement, and classifying the keywords; automatically identifying the voice communication information through a deep neural network to obtain standard voice data, and matching the standard voice data with a voice evaluation database to obtain uniquely matched standard evaluation data; comparing and analyzing the standard voice data and the standard evaluation data, and then judging whether the semantics of the voice communication information and the triggering time are correct or not; and performing comprehensive calculation according to the comprehensive membership function to obtain an autonomous evaluation score of the voice communication information. According to the invention, autonomous and objective voice assessment and evaluation can be reliably, reasonably, accurately and rapidly carried out on the voice communication information in the student training process, and the student can directly know whether the own voice instruction is correct and standard through the evaluation score.

Description

technical field [0001] The invention relates to the technical field of rail transportation simulation training, more specifically, it relates to a voice behavior assessment method for rail transportation simulation training. Background technique [0002] Rail transportation has become one of the most important modes of transportation in my country and has become the artery of my country's economic development. It is deeply loved by the general public for its unique advantages of safety, large capacity, fast speed, punctuality and comfort. [0003] With the development of rail transportation, more and more positions have an increasing demand for talents. The effectiveness of the current talent training method has been improved compared with the traditional talent training method. In the traditional talent training process, it is mainly through manual evaluation of whether the language instructions of the students are correct and standardized. The evaluation results are too su...

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
IPC IPC(8): G09B5/04G06F16/35G06Q10/06G06Q50/20G10L15/26
CPCG09B5/04G06Q10/06398G06Q50/2057G06F16/35
Inventor 张文英赵捷黄成周李跃宗冉鹏雯章磊
Owner ZHENGZHOU UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap