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

Voice text error correction method and device

A technology of voice text and error correction method, applied in the field of data processing, can solve the problem of low accuracy of voice text

Active Publication Date: 2016-08-17
HISENSE
View PDF7 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a method and device for correcting voice and text errors, which solves the problem of low accuracy of the voice and text recognized by the voice recognition system in the prior art

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 text error correction method and device
  • Voice text error correction method and device
  • Voice text error correction method and device

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0028] The above-mentioned concept knowledge base is constructed by technicians based on Internet data and user usage data in a specific field, and is usually constructed according to the domain concept hierarchy. The domain concept hierarchy is a characteristic description of the concept of a specific field. Reflecting the relationship between knowledge and concepts in the field, the addition of domain concepts helps knowledge reasoning, information classification, search and navigation, and helps humans or machines understand a highly concentrated or rapidly changing field. Especially for the semantic annotation of specific domain vocabulary, the feature vocabulary related to the domain is extracted from the massive corpus to form a feature vocabulary set, combined with the space vector model of the domain ontology, the association is established and the local correlation of the domain is also introduced to realize the corpus Conceptual mapping with domain ontology. Exemplar...

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

According to the embodiment, the invention provides a voice text error correction method and an error correction device, and relates to the field of data processing, aiming at solving the problem that voice texts, which are recognized by a voice recognition system in the prior art, are inaccurate. The method comprises the following steps: extracting to-be-recognized voice texts and corresponding related voice recognition texts, wherein the related voice recognition texts are voice recognition texts which are contextually correlated to the to-be-recognized voice texts; acquiring a first concept correlation set of the related voice recognition texts and a second concept correlation set of the to-be-recognized voice texts, wherein the concept correlation sets include correlative words which are correlated to words in the voice recognition texts; determining to-be-corrected words in the to-be-recognized voice texts in accordance with the first concept correlation set; and acquiring error correction candidate words, which are in corresponding to the to-be-corrected words, from the second and / or the first concept correlation sets / set, and replacing the to-be-corrected words in the to-be-recognized voice texts with the error correction candidate words. The error correction method and the error correction device disclosed by the invention are applicable to error correction of voice texts.

Description

technical field [0001] The invention relates to the field of data processing, in particular to an error correction method and device for speech and text. Background technique [0002] Speech recognition technology is a very important human-computer interaction technology. With the rapid development of speech recognition technology, a large number of speech recognition systems have been put into commercial operation. However, due to the influence of various factors such as Chinese homonyms, pauses, and sentence breaks, the speech text recognized by the speech recognition system may have incoherent sentences. [0003] In view of the above problems, the existing technology provides a method for error detection and error correction of the text after speech recognition, that is, by performing grammatical and semantic analysis on the speech text to be recognized, the anchor word in the speech text to be recognized is located, and then, Extract the instance corresponding to each a...

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): G10L15/26G10L15/065
Inventor 王峰任晓楠陈仲帅
Owner HISENSE
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