Speech and semantic recognition method of service robot

A service robot and semantic recognition technology, which is applied in the field of speech and semantic recognition of service robots, can solve the problems of large amount of computer calculation and long time consumption

Active Publication Date: 2017-06-20
彭楚奥
View PDF8 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It takes a long time to perform lip language recognition on the collected video, and the computer has a large amount of calculation, and it needs relatively large computer hardware equipment to support it.

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] This embodiment provides a speech semantic recognition method for a service robot, which specifically includes the following steps:

[0070] S1. System lexicon modeling:

[0071] S101, set up a thesaurus database, the thesaurus database includes a pronoun database, a verb database and a noun database, and words and idioms that are pronouns, verbs and noun attributes in Chinese characters are stored in the corresponding pronoun database, verb database and noun database respectively ;

[0072] S102, at the same time, establish a semantic framework database, said semantic framework database includes the possible combinations of stored words and the corresponding Chinese meanings when combined together;

[0073] S103. Simultaneously establish a lip language pattern library, and the established pattern library is recognized by the facial lip language video operation to obtain the pattern feature code or reversely deduce the standard pattern feature code from the Chinese tex...

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 speech and semantic recognition method of a service robot. The method comprises: system word library modeling is carried out; to be specific, a word library database is established and then a semantic frame database is established; a lip language mode base is established; a system uses a speech recognition system to collect a speech instruction inputted by a user and a face video and speech and semantic recognition and video segment lip language recognition are carried out respectively; and according to a combined recognition result, a determined Chinese semantic information is displayed at a display interface. Therefore, a noun database and a semantic frame database are established for different service fields; and on the basis of the word library database, the semantic frame database, and the lip language mode base, the robot understands the Chinese meaning expressed by the speech instruction, so that speech and semantic recognition becomes accurate.

Description

technical field [0001] The invention relates to a voice semantic recognition method, in particular to a voice semantic recognition method for a service robot. Background technique [0002] An important branch of computer science is "artificial intelligence", which attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a similar way to human intelligence. Research in this field includes robotics, language recognition, Image recognition, natural language processing and expert systems, etc. [0003] In terms of natural language processing, how to make robots recognize and understand human language, and simulate human thinking to think and reason is an important measure to realize the great ideal of "artificial intelligence". Regardless of the language environment of Chinese or English, except for individual exceptions such as "you", "me" and "he", phrases are the smallest unit of human expression semantics. [0004] What i...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/06G10L15/18G10L15/25G10L25/51G06F17/30
CPCG06F16/3329G06F16/3344G10L15/06G10L15/1815G10L15/25G10L25/51
Inventor 彭楚奥
Owner 彭楚奥
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