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
CN111435592APending Publication Date: 2020-07-21TCL CORPORATION
5 Cites 4 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TCL CORPORATION
Publication Date
2020-07-21

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

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