Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Voice identification method

A technology of speech recognition and speech, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of immature products and coming out, and achieve the effect of high recognition rate and good scalability

Inactive Publication Date: 2013-12-25
WOWTECH
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are still some speech recognition technologies using the speech recognition engine of Kyoto University. Its unique technical framework has good recognition rate and scalability. Based on word 3-gram and context-dependent HMM, although its performance is excellent, the current market There are no mature products on the market

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 identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] combine figure 1 As shown, a kind of speech recognition method of the present invention, the speech recognition technology adopted in the speech recognition technology of independent research and development is based on the speech recognition engine of Kyoto University, and its unique technical framework has better recognition rate and expansibility. Based on word 3 -gram and context-dependent HMM have excellent performance, but there are no mature products on the market. On top of this, by independently establishing a voice library, real-time voice recognition can be realized. Not only does it have a high recognition rate for English, but it also takes a leading position in the world in Japanese recognition rate, especially in the Japanese voice recognition market that has just started, and it is an international leading level. . The technical framework adopted by this speech recognition technology can be extended to Chinese recognition and even to other national lan...

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

Provided is a voice identification method, which is based on word3-gram and contet-dependent HMM. The voice identification method comprises two parts: training and identification. The training part is a process of HMM modeling. The voice identification includes two solutions: building corresponding acoustic models for non phonetic phenomena and phonation deformation, or building a grammar network which describes the inherent randomness of a spoken language or a statistical language model. The method of voice acquisition is real-time acquisition, that is, voices are acquired in real time and the acquired voices are transmitted for cache in real time. According to the voice identification method, a voice library is independently established on the basis of existing function modules and application methods, and instant voice identification can be realized. The voice identification method not only has a high English identification rate, but also is world-leading in the Japanese identification rate, and enjoys internationally leading status especially in the newly started Japanese voice identification market. The technical framework adopted in the voice identification technology can be completely expanded to Chinese identification and even other languages including the Chinese language.

Description

Technical field [0001] The invention involves a voice recognition method. Background technique [0002] Voice recognition is also a cross -disciplinary discipline, which is closely linked to many sciences such as acoustics, voice, linguistics, digital signal processing theory, and computer science.Language recognition is based on the application is a language typograph, replacing the keyboard with an oral description to achieve text to the computer. It has the advantages of natural, fast, no need to use hands, and unwanted place restrictions.In the English recognition system, Google and Nuance are the leaders of the current language recognition technology, and the business language recognition engine developed by it has been widely purchased and used.At present, there are still some voice recognition technologies adopt the voice recognition engine of Kyoto University. Its unique technical framework has a good recognition rate and scalability. Based on Word 3-GRAM and Context-Depe...

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): G10L15/06G10L15/26G10L21/02
Inventor 陈奕
Owner WOWTECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com