Speech recognition method and device, equipment and storage medium

A technology of speech recognition and speech information, which is applied in the computer field, can solve the problems of low recognition rate of speech recognition and achieve the effect of improving accuracy

Pending Publication Date: 2019-02-15
比亦特网络科技(天津)有限公司
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiments of the present invention provide a voice recognition method, device, device, and storage me

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] figure 1It is a schematic flow chart of the speech recognition method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where the speech recognition result is corrected in a specific application scenario. This method can be executed by a speech recognition device and can be integrated into various Among the devices, the devices include: portable devices with computing capabilities such as mobile phones, tablet computers, and PDAs, and other devices with computing and storage capabilities, such as smart speakers and smart elevator voice response devices. Specifically include the following steps:

[0071] S110. Acquire vocabulary in the voice information, and extract undesired reasonable vocabulary from the vocabulary according to a preset scene rule set.

[0072] Exemplarily, the voice can be collected by various voice collection devices, such as a microphone. According to the collected voice, natural language processing ...

Embodiment 2

[0084] figure 2 It is a schematic flow chart of the speech recognition method provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiments. In this embodiment, the calculation of the degree of approximation of the approximate pinyin vocabulary is specifically optimized as: generating according to the letters of the approximate pinyin vocabulary and the pinyin letters of the non-expected reasonable vocabulary Comparing the table; filling the comparison table according to preset rules; determining the difference between the approximate pinyin vocabulary and the non-expected reasonable vocabulary according to the filled table; comparing the letter numbers of the approximate pinyin vocabulary and the non-expected reasonable vocabulary, Taking the number of letters of a vocabulary with a large number of letters as the maximum length; calculating the degree of approximation of the approximate pinyin vocabulary accor...

Embodiment 3

[0121] image 3 is a schematic structural diagram of the speech recognition device provided in Embodiment 3 of the present invention, as image 3 As shown, the device includes:

[0122] An extraction module 310, configured to acquire vocabulary in the speech information, and extract undesired reasonable vocabulary from the vocabulary according to a preset scene rule set;

[0123] The selection module 320 is configured to obtain the pinyin of the unexpected reasonable vocabulary, and select the correct vocabulary according to the preset vocabulary set.

[0124] The speech recognition device provided in this embodiment judges whether the vocabulary of speech recognition is correct by using the preset scene rule set, and when it is determined that it is an unexpected reasonable vocabulary, selects and approximates it from the preset scene vocabulary set by pinyin The vocabulary with the highest degree is used as the expected reasonable vocabulary to realize the correction of th...

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 embodiments of the invention disclose a speech recognition method and device, a piece of equipment and a storage medium. The method includes the following steps: acquiring vocabularies in speech information, and extracting unexpected reasonable vocabularies from the vocabularies according to a preset scene rule set; acquiring the Pinyin of the unexpected reasonable vocabularies, and selectingcorrect vocabularies according to a preset vocabulary set. Compared with the prior art, the speech recognition result can be modified according to specific application scenarios, so as to improve theaccuracy of speech recognition in specific application scenarios. Moreover, the correction function can be realized by using the existing speech recognition software port without changing the speech recognition software.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a voice recognition method, device, equipment and storage medium. Background technique [0002] With the advancement of science and the development of technology, speech recognition technology has become more and more mature, and is gradually becoming the key technology of human-machine interface in information technology. A variety of speech recognition algorithms have greatly improved both the recognition rate and the recognition efficiency of speech recognition. In recent years, speech recognition technology has gradually been widely used in various fields. At present, speech recognition, as a commonly used human-computer interaction technology, has been widely used in various electronic products. It has been favored by consumers for its natural and convenient interaction method, and has gradually become the mainstream interactive control method in the era of smart ...

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
IPC IPC(8): G10L15/02G10L15/26
CPCG10L15/02G10L15/26
Inventor 卢俊杰肖曙
Owner 比亦特网络科技(天津)有限公司
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