Speech recognition method and device and terminal equipment

A technology for speech recognition and recognition accuracy, applied in speech recognition, speech analysis, instruments, etc., can solve the problem that the accuracy of speech recognition cannot meet the needs of commercial-level applications, and reduce the dependence on data volume and improve the recognition accuracy. , the effect of meeting application requirements

Pending Publication Date: 2020-07-21
TCL CORPORATION
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a speech recognition method, device and terminal equipment to solve the problem that the accuracy of existing speech recognition cannot meet the application requirements of commercial grade

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 and terminal equipment
  • Speech recognition method and device and terminal equipment
  • Speech recognition method and device and terminal equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, systems, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0030] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate. Please refer to figure 1 , figure 1 The implementation process of a speech recognition method provided by the embodiment of the present invention is shown, and the details are as follows:

[0031] In step S101, input the target audio data into the pre-constructed acous...

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 is applicable to the technical field of terminal equipment. The invention provides a speech recognition method, a speech recognition device and terminal equipment. The method comprises the following steps: inputting target speech data into a pre-constructed acoustic model based on a neural network to obtain a target pinyin sequence; inputting the target pinyin sequence into a pre-constructed language model based on a neural network to obtain a target text sequence. A speech recognition process is split into two parts; wherein one part is a sequence from audio data to pinyin; onepart is from a pinyin sequence to a character sequence, so that the dependence on data volume is greatly reduced, the recognition accuracy from the pinyin sequence to the character sequence is greatlyimproved due to facts that there are only more than 1400 pinyin with tones and more than 7000 common Chinese characters, and the application requirement of commercial-level voice recognition accuracyis met.

Description

technical field [0001] The invention belongs to the technical field of terminal equipment, and in particular relates to a speech recognition method, device and terminal equipment. Background technique [0002] Traditional speech recognition technologies represented by Gaussian Mixed Model (GMM), Hidden Markov Model (HMM), Mel Cepstral Coefficient (MFCC), n-gram language model, etc., although the accuracy has been greatly improved , but still cannot meet the application requirements of commercial grade. [0003] In recent years, under the influence of deep learning technology, automatic speech recognition technology has made some breakthroughs. However, compared with traditional speech recognition systems, the overall framework has not changed much, and the user experience is still poor. With the rapid development of mobile devices, speech recognition technology, as the basic application of mobile devices, needs to be further improved in terms of accuracy, speed, and ease of...

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): G10L15/02G10L15/16G10L15/18G10L15/26
CPCG10L15/02G10L15/16G10L15/18G10L15/26
Inventor 彭团民陈明
Owner TCL CORPORATION
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap