Check patentability & draft patents in minutes with Patsnap Eureka AI!

Semantic identification method

An identification method and semantic technology, applied in the field of semantic identification, can solve the problems of complicated comparison process and difficult to be widely used, and achieve the effect of improving the accuracy rate

Inactive Publication Date: 2014-03-26
CHUNG HAN INTERLINGUA KNOWLEDGE
View PDF7 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to achieve high-accuracy speech recognition in a known way, it is necessary to create a large number of voice samples, such as male voice samples, female voice samples, voice samples of the same language with different accents, etc., and the voice file is more than the text file. It is much larger, and the comparison process is even more complicated. As a result, speech recognition must use high-end computer comparison to achieve a high recognition rate, and it is therefore difficult to be widely used.

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
  • Semantic identification method
  • Semantic identification method
  • Semantic identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The specific embodiments adopted by the present invention will be further described by the following embodiments and attached drawings.

[0045] refer to figure 1 and figure 2 as shown, figure 1 It is a flowchart showing the semantic recognition method of the first embodiment of the present invention, figure 2 It is a block diagram of an electronic device showing the semantic recognition method according to the first embodiment of the present invention.

[0046] As shown in the figure, the semantic recognition method of the first embodiment of the present invention can be implemented in an electronic device to recognize the semantics of an input audio, and then give a corresponding response. In this embodiment, the electronic device 100 includes a capture device 1 , a recognition device 2 , a database 3 , a pinyin comparison device 4 , and an output unit 5 . Wherein the extraction device 1 comprises a recording unit 11, a sampling unit 12 and a transmission unit 1...

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 semantic identification method including steps of receiving a voice signal; identifying the voice signal into a transliteration character string containing a transliteration character group; converting each transliteration character of the transliteration character group to a phonetic alphabet group; comparing the phonetic alphabet group with a reference phonetic alphabet group for obtaining similarity indexes; and deciding corresponding reference phonetic alphabet character group according to the similarity indexes. Thus, phonetic identification correctness can be improved and meaning becomes more approximate to the original meaning of the input phonetic signals.

Description

technical field [0001] The invention relates to a voice recognition method, in particular to a semantic recognition method. Background technique [0002] In the early days, users could use a keyboard, mouse or touch screen to input information in the way of communicating with electronic products. With the advancement of technology, a more natural way of communication has also been developed, that is, voice input. The user achieves the effect of natural dialogue by using the voice input method and the voice output of the electronic product. The speech input process is generally as follows. When the sound is input into the computer through analog to digital conversion and stored in numerical form, the speech recognition program combines the pre-stored sound samples with the input test sound. samples for comparison. After the comparison is completed, input a sound sample sequence that it thinks is the most "like", and then you can know what the sound that the user just read m...

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): G10L15/26G06F17/30
Inventor 李志成
Owner CHUNG HAN INTERLINGUA KNOWLEDGE
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More