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Voice information recognition method and device, electronic equipment and storage medium

A technology of speech information and recognition methods, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as poor speech recognition effect and incomplete grammatical rules, and achieve the effect of improving recognition ability

Pending Publication Date: 2021-03-16
BEIJING YOUZHUJU NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, such a speech recognition model is not suitable for social language used in daily life. Compared with written text language, social language is more casual and does not fully comply with standard grammatical rules. Therefore, the existing speech The recognition method is not effective in speech recognition in daily life application scenarios

Method used

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  • Voice information recognition method and device, electronic equipment and storage medium
  • Voice information recognition method and device, electronic equipment and storage medium
  • Voice information recognition method and device, electronic equipment and storage medium

Examples

Experimental program
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Embodiment 1

[0030] figure 1 It is a flowchart of a speech information recognition method provided by Embodiment 1 of the present disclosure. This embodiment is applicable to the recognition of speech information in daily life scenarios, and the method can be implemented by the speech information recognition device in the embodiment of the present disclosure. Execution, the device can be implemented by software and / or hardware, and integrated in electronic equipment, the method specifically includes the following steps:

[0031] S110. Acquire at least one text corpus pair, where the text corpus pair includes a mapping relationship between written text and spoken text.

[0032] Spoken text is a language format used in daily life. It is easy to understand and express, and has strong randomness. The language structure is relatively simple and scattered, which is in line with daily speaking habits; written text is a document and The language format used in formal occasions has the characteris...

Embodiment 2

[0049] figure 2 It is a structural block diagram of a speech information recognition device provided in Embodiment 2 of the present disclosure, specifically including: a text corpus pair acquisition module 210 , an association relationship acquisition module 220 , a spoken text data acquisition module 230 and a speech recognition execution module 240 .

[0050] A text corpus pair acquisition module 210, configured to acquire at least one text corpus pair, the text corpus pair including the mapping relationship between written text and colloquial text;

[0051] Association relationship acquisition module 220, configured to determine the association relationship between the written text and the spoken text;

[0052] Spoken text data acquisition module 230, configured to obtain written text data, and obtain spoken text data corresponding to the written text data according to the written text data and the association relationship;

[0053] The voice recognition execution module ...

Embodiment 3

[0067] image 3 A schematic structural diagram of an electronic device 300 suitable for implementing the embodiments of the present disclosure is shown. The terminal equipment in the embodiment of the present disclosure may include but not limited to such as mobile phone, notebook computer, digital broadcast receiver, PDA (personal digital assistant), PAD (tablet computer), PMP (portable multimedia player), vehicle terminal (such as mobile terminals such as car navigation terminals) and fixed terminals such as digital TVs, desktop computers and the like. image 3 The illustrated electronic device is only an example, and should not impose any limitation on the functions and scope of use of the embodiments of the present disclosure.

[0068] Such as image 3 As shown, the electronic device 300 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 301, which may be loaded into a random access memory (RAM) according to a program stor...

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Abstract

The embodiment of the invention discloses a voice information recognition method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining at least one textcorpus pair which comprises a mapping relation between a written style text and a colloquial text; determining an association relationship between the writtenstyle text and the colloquialtext; obtaining written style text data, and obtaining colloquial text data corresponding to the written style text data according to the written style text data and the association relationship; and applying thecolloquial text data to the recognition of voice information. According to the technical scheme of the embodiment of the invention, the association relationship between the written style text and thecolloquial text is determined according to the obtained text corpus pair, and the corresponding colloquial text data is obtained according to the written style text data and the association relationship and is used for recognizing the voice information, the text information suitable for the spoken language daily life scene is obtained, and the recognition capability of the spoken language voice information is improved.

Description

technical field [0001] Embodiments of the present disclosure relate to voice recognition technology, and in particular, to a voice information recognition method, device, electronic device, and storage medium. Background technique [0002] With the continuous advancement of science and technology, speech recognition technology has developed rapidly and is widely used in many fields such as intelligent control, which provides great convenience for people's social life. [0003] Existing speech recognition technology usually obtains written text data from literature such as books, and composes training data according to the corresponding relationship between speech information and text data. After training, a speech recognition model is obtained, and then realized through the speech recognition model. Speech Recognition. [0004] However, such a speech recognition model is not suitable for social language used in daily life. Compared with written text language, social languag...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/22G10L15/26G10L15/16G10L15/06
CPCG10L15/22G10L15/26G10L15/16G10L15/063
Inventor 李婉瑜
Owner BEIJING YOUZHUJU NETWORK TECH CO LTD