Speech recognition model determination method and device, speech recognition method and device, and electronic equipment

A technology for speech recognition models and determination methods, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of low accuracy of speech recognition, and achieve the effects of stable pronunciation, improved accuracy, and robust changes

Inactive Publication Date: 2020-07-10
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present disclosure provides a method for determining a speech recognition model, a speech recognition method and device, and electronic equipment, so as to at least solve the problem of low accuracy of speech recognition in the related 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
  • Speech recognition model determination method and device, speech recognition method and device, and electronic equipment
  • Speech recognition model determination method and device, speech recognition method and device, and electronic equipment
  • Speech recognition model determination method and device, speech recognition method and device, and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0082] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0083] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consi...

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 disclosure relates to a speech recognition model determination method and device, a speech recognition method and device, and electronic equipment, and relates to the field of speech recognition.The speech recognition model determination method comprises the following steps: acquiring sample speech data; framing the sample voice data, and performing feature extraction on each frame of samplevoice data obtained by framing to obtain voice features of each frame of sample voice data; aligning the voice features of each frame of sample voice data based on syllables to obtain syllable labelscorresponding to each frame of sample voice data; and recognizing the voice features of each frame of sample voice data by using a to-be-trained voice recognition model to obtain a prediction syllablecorresponding to each frame of sample voice data. By adopting the method, the accuracy of speech recognition can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of speech recognition, and in particular to a method for determining a speech recognition model, a speech recognition method and device, and electronic equipment. Background technique [0002] Automatic Speech Recognition (ASR) is the process of converting human speech into corresponding text through algorithms. In the current automatic speech recognition system, the commonly used speech recognition model modeling methods include chain modeling, connection time series classification, etc., and the commonly used modeling unit is phoneme or phoneme state. [0003] In related technologies, speech recognition models use phonemes as modeling units and consider context-dependent phonemes. However, due to the short duration of phonemes, it is difficult to model the long-term time dependence of human speech due to the short duration of phonemes. The matching degree of speech perception is not high enough, ...

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): G10L15/26G10L25/27G10L25/30
CPCG10L15/26G10L25/27G10L25/30
Inventor 李杰王晓瑞李岩
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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