Supercharge Your Innovation With Domain-Expert AI Agents!

Speech recognition method and system for correcting noise text and storage medium

A technology for speech recognition and semantic recognition, applied in systems and storage media, in the field of speech recognition methods for correcting noisy text, can solve problems such as existence of noise, affecting interaction efficiency and experience, and inability to accurately judge users, so as to improve accuracy and improve The effect of interaction efficiency and experience

Pending Publication Date: 2020-06-23
NANJING AOTO ELECTRONICS CO LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to provide a noise-correcting text for the existing scenarios where there are environmental noises and noises in speech recognition results, which lead to intelligent robots being unable to accurately judge the user's intentions and affecting the interaction efficiency and experience with users. Speech recognition method, system and storage medium

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
  • Speech recognition method and system for correcting noise text and storage medium
  • Speech recognition method and system for correcting noise text and storage medium
  • Speech recognition method and system for correcting noise text and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] In order to better understand the above objects, features and advantages of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0041] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terminology used herein in the description of the present invention is only for the purpose of describing specific embodiments, and is not intended to limit the present invention.

[0042] like figure 1 As shown, an embodiment of the present application discloses a speech recognition method for correcting noise text, including:

[0043] S100, acquiring an audio signal;

[0044] The speech ...

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 relates to a voice recognition method and system for correcting a noise text, and a storage medium, and the method comprises the steps: obtaining an audio signal; performing voice recognition on the acquired audio signal to obtain an initial recognition text; performing word segmentation operation on the initial recognition text to obtain decomposed phrases; recombining the decomposed phrases to obtain a plurality of recombined statements; calculating a probability value of each recombined statement by utilizing an N-Gram model; calculating a weight value of each recombined statement by utilizing a TF-IDF model according to a pre-constructed service dialogue corpus; and calculating a weighted probability value of each recombined statement according to the probability value and the weight value of each recombined statement, and selecting the recombined statement of which the weighted probability value meets a preset condition as a result recognition text. According to theinvention, the noise text mingled with the voice of other people can be filtered to obtain the voice recognition result conforming to the current dialogue scene, the voice recognition accuracy is improved, and the interaction efficiency and experience are improved.

Description

technical field [0001] The invention relates to the technical field of speech recognition, in particular to a speech recognition method, system and storage medium for correcting noise text. Background technique [0002] With the continuous development of artificial intelligence technology, artificial intelligence technology is used in more and more scenarios to interact with users and provide various services. Among them, speech recognition plays an important role in human-computer interaction because it is more suitable for people's normal communication habits. [0003] Scenes such as bank halls or business halls are relatively noisy environments. During the dialogue between the intelligent robot and the user, the intelligent robot will not only acquire the user's voice, but also pick up a lot of environmental noise. These ambient noises could be other people's conversations, or machines, or the sounds of the street outside. Due to the interference of these environmental...

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): G10L15/26G10L15/06G10L15/18G06F40/289G06F40/30
CPCG10L15/26G10L15/063G10L15/1815
Inventor 陆俊贤黄华周院平孙信中矫人全
Owner NANJING AOTO ELECTRONICS CO LTD
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