Voice control method and system applied to bicycle environment

A voice control and bicycle technology, applied in the field of deep learning, can solve the problems of time-consuming, labor-intensive, time-consuming, and insufficient accuracy, and achieve the effect of less time-consuming, good effect, and high accuracy

Active Publication Date: 2017-11-28
WUHAN TIPDM INTELLIGENT TECH
View PDF14 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the industry mainly completes the recognition and extraction of semantic information based on the method of feature engineering. However, feature engineering requires a large number of manually labeled data sets and the writing of a large number of rules, which is

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 control method and system applied to bicycle environment
  • Voice control method and system applied to bicycle environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0023] Nowadays, cycling has become one of the mainstream travel methods. When riding a bicycle, users sometimes need to operate their mobile phones to make and receive calls, listen to music, entertainment, or route navigation. However, it is inconvenient to operate because both hands need to hold the steering wheel tightly. For mobile phones, at this time, if some operations can be performed through voice, it will be very convenient for users.

[0024] The invention provides a voice control method applied to a bicycle environment, comprising:

[0025] S1. Obtain a voice message, and preprocess t...

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 control method and system applied to a bicycle environment. The voice control method comprises the following steps: acquiring a voice message, and preprocessing the voice message; carrying out voice recognition on the voice message, so that the voice message is converted into a recognition result text; preprocessing the recognition result text; judging the subject of the recognition result text, and judging the intention of the recognition result text and extracting entity information; and searching a database according to the subject, the intention and the entity information of the recognition result text, carrying out matching, and executing the actions corresponding to the recognition result text. The method and the system have the beneficial effects that a mixed model of an artificial neural network model and a hidden markov model is used for carrying out voice recognition, and thus the voice recognition effect is good; the subject is judged first, then the situation that the intention belongs to which intention in the intention set corresponding to the subject is judged, so that the intention of a user can be accurately excavated; manual programming of features is not needed, the accuracy is high, the system expansibility/maintainability is strong, and the time consumption is little.

Description

technical field [0001] The invention relates to the technical field of deep learning, in particular to a voice control method and system applied to a bicycle environment. Background technique [0002] At present, the industry mainly completes the recognition and extraction of semantic information based on the method of feature engineering. However, feature engineering requires a large number of manually labeled data sets and the writing of a large number of rules, which is very time-consuming and labor-intensive; some technologies are based on deep learning to complete this task. , although there is no need to manually write features, it requires a large amount of manual labeling data, which is still time-consuming and the accuracy is not high enough. Contents of the invention [0003] The purpose of the present invention is to overcome the above-mentioned technical deficiencies, propose a voice control method and system applied to the bicycle environment, and solve the ab...

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): G10L15/14G10L15/16G10L15/26G06F17/27G06N3/02
CPCG06N3/02G10L15/142G10L15/16G10L15/26G06F40/30
Inventor 李成华叶正金灿灿刘丽君李骏刘雄风
Owner WUHAN TIPDM INTELLIGENT TECH
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