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

Training method and system for child speech recognition model

A speech recognition model and speech training technology, applied in speech recognition, speech analysis, TV system components, etc., can solve problems such as insufficient data volume of children's voices, poor effect of children's speech recognition models, etc., and achieve high recognition accuracy Effect

Active Publication Date: 2020-01-17
AISPEECH CO LTD
View PDF7 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In order to at least solve the problem in the prior art that the children's speech recognition model is not effective due to the insufficient amount of children's voice data

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
  • Training method and system for child speech recognition model
  • Training method and system for child speech recognition model
  • Training method and system for child speech recognition model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0033] Such as figure 1 Shown is a flow chart of a training method for a children's speech recognition model provided by an embodiment of the present invention, including the following steps:

[0034] S11: Obtain training data, the training data includes children's voice training data, hard labels corresponding to the children's voice training da...

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 embodiment of the invention provides a training method of a child speech recognition model. The method comprises the steps of obtaining training data; training through a baseline acoustic model toobtain an unconditional generative adversarial network; inputting the random noise data into an unconditional generative adversarial network to obtain noise enhanced acoustic features; inputting thenoise enhancement acoustic features into a baseline acoustic model to obtain a posterior probability soft label corresponding to each frame of noise enhancement acoustic features; and training the children speech enhancement acoustic recognition model at least by taking the noise enhancement acoustic features, the soft label, the children speech training data and the hard label as sample trainingdata. The embodiment of the invention further provides a training system of the child speech recognition model. According to the embodiment of the invention, the pronunciation nature of the child speech is changed under the condition that the child speech is limited, diversified child speeches are generated, and the recognition accuracy of the child speech recognition model is improved.

Description

technical field [0001] The invention relates to the field of speech recognition, in particular to a training method and system for a children's speech recognition model. Background technique [0002] With the development of intelligent voice, it not only provides a large number of voice interactive products for adult users, but also provides many intelligent products for children, such as intelligent story machines and intelligent robots. However, due to the differences between children's voices and adult voices, existing speech recognition systems are not effective in recognizing children's voices. [0003] For the above problems, the method of adding noise is usually used: in data preprocessing, for each sentence in the clean audio of children's voices, use the FaNT tool to add random one of 115 noises with a signal-to-noise ratio of 20dB to increase the number of children's voices amount of data; or, adopt random feature mapping method: random feature mapping learns an 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): G10L15/02G10L15/06G10L15/26G10L15/20
CPCG10L15/063G10L15/02G10L15/26H04N23/71
Inventor 钱彦旻吴松泽俞凯盛佩瑶杨卓林李晨达
Owner AISPEECH 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