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

Speech recognition method and device, computer equipment and storage medium

A speech recognition and computer program technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of high delay, high ASR system complexity, affecting ASR recognition efficiency, etc., to achieve low training complexity and improve ASR recognition. Efficiency and improved accuracy

Pending Publication Date: 2021-07-30
PING AN TECH (SHENZHEN) CO LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The complexity of this ASR system is too high, and the delay is high, which affects the efficiency of ASR recognition; and the error of accent recognition will also affect the accuracy of ASR recognition

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 device, computer equipment and storage medium
  • Speech recognition method and device, computer equipment and storage medium
  • Speech recognition method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0035] The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations / steps, nor must they be performed in the order described. For example, some operations / steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation.

[0036] It should be understood that the terms used in the specification of this application are for the purpose of ...

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 device, computer equipment and a storage medium. The method comprises the steps: acquiring training data including standard mandarin training data and non-standard mandarin training data; inputting the standard mandarin training data into the main neural network for training to obtain a mandarin acoustic model; adding a branch neural network in the mandarin acoustic model; inputting the standard mandarin training data and the non-standard mandarin training data into a mandarin acoustic model for multi-task training; updating the mandarin acoustic model to generate an initial acoustic model; inputting the training data into the initial acoustic model for training to obtain a target acoustic model; and inputting the voice information into the target acoustic model to obtain semantic information of the voice information. Not only is the ASR recognition efficiency improved, but also the ASR identification accuracy is prevented from being influenced by accent identification errors. The invention further relates to a block chain technology, and the target acoustic model can be stored in a block chain node.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a voice recognition method, device, computer equipment and storage medium. Background technique [0002] For telephone customer service scenarios, it is common for Mandarin ASR (Automatic Speech Recognition, automatic speech recognition technology) to be affected by accents. In order to solve this problem, the traditional method is to provide dedicated acoustic models for different accents. The entire ASR system includes dedicated acoustic models for various accents, and the front-end is equipped with an accent recognition module. The complexity of this ASR system is too high, and the time delay is high, which affects the efficiency of ASR recognition; moreover, errors in accent recognition will also affect the accuracy of ASR recognition. [0003] Therefore, how to improve the efficiency and accuracy of ASR recognition has become an urgent problem to b...

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): G10L15/06G10L15/16
CPCG10L15/063G10L15/16
Inventor 王瑞璋魏韬马骏王少军
Owner PING AN TECH (SHENZHEN) CO LTD
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