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

Acoustic vowel trans-word modeling and decoding method and system for continuous digital recognition

A technology of digital recognition and modeling methods, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as unsatisfactory effects

Active Publication Date: 2005-09-28
PANASONIC CORP
View PDF0 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This whole character modeling method has achieved good results in digit recognition systems in English and other Western languages; but for Chinese digit recognition, the effect of this whole character modeling method is not ideal

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
  • Acoustic vowel trans-word modeling and decoding method and system for continuous digital recognition
  • Acoustic vowel trans-word modeling and decoding method and system for continuous digital recognition
  • Acoustic vowel trans-word modeling and decoding method and system for continuous digital recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] specific implementation plan

[0027] Firstly, the basic principle of speech recognition will be described below. Speech recognition includes two basic processes, namely the training process and the recognition process. The main task of the training process is to use a large number of speech training samples to establish an acoustic model to describe the knowledge of the acoustic layer. In a complex recognition system, it is also necessary to use a large amount of text corpus to train a language model to describe language-level knowledge. In the recognition process, the acoustic model and language model obtained in the training process are used to decode the speech sample to be tested and recognize it as text.

[0028] Compared with English and other languages, the problem of Chinese numeral recognition is more difficult, mainly because the pronunciation of Chinese numerals is more easily confused. Investigating the pronunciation of Chinese numerals and the actual sy...

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

An acoustic modeling method of Chinese continuous digit identification includes setting up individual model for different initial consonant and simple or compound vowel of Chinese continuous digit, defining context relativity and its acoustic model to accurately describe voice of Chinese continuous digit, applying hidden Markov model as basic model presentation and utilizing cluster algorithm to carry out train of model parameter for obtaining acoustic model of continuous digit. The method and system of search-decode as well as acoustic modeling system are also disclosed.

Description

technical field [0001] The patent of the present invention relates to a modeling method, a decoding method and a system for Chinese continuous digit speech recognition. More specifically, it relates to a method and system for modeling and searching and decoding sound and rhyme cross-words for Chinese continuous numeral recognition. Background technique [0002] Speech recognition technology is a technology that allows machines to convert voice signals into corresponding text or commands through the process of recognition and understanding. The combination of speech recognition technology and speech synthesis technology can enable people to get rid of the keyboard through voice input, operate through voice commands, and communicate with machines by voice. In the past two decades, with the rapid development of computer technology, speech recognition technology has made remarkable progress, and it has begun to move from the laboratory to the market. It is expected that in the...

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): G10L15/06G10L15/14G10L19/00
Inventor 贾磊马龙
Owner PANASONIC CORP
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