A 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 insufficient accuracy, time-consuming, time-consuming and labor-intensive, and achieve the effect of high accuracy, less time-consuming, and good effect.
Active Publication Date: 2021-05-28
WUHAN TIPDM INTELLIGENT TECH
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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 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
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[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...
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The invention discloses a voice control method and system applied to a bicycle environment, wherein the method includes: acquiring a voice message, and preprocessing the voice message; performing voice recognition on the voice message, thereby converting the voice message into a recognition result text; Preprocess the recognition result text; judge the subject of the recognition result text, then judge the intent of the recognition result text and extract entity information; search the database according to the subject, intent, and entity information of the recognition result text, match and execute the corresponding action of the recognition result text. Beneficial effects: using the mixed model of the artificial neural network model and the hidden Markov model for speech recognition, the effect of speech recognition is better; by first judging the topic, and then judging which one of the intent sets corresponding to the topic is the intention, it can be more Accurately mine user intent; no need to manually write features, high accuracy, strong system scalability / maintenance, and less time-consuming.
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...
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IPC IPC(8): G10L15/14G10L15/16G10L15/26G06F40/30G06N3/02
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