Speech recognition method and device, computer device and storage medium

A speech recognition and speech technology, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as low recognition rate

Active Publication Date: 2018-05-11
VOICEAI TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In modern speech recognition systems, the Hidden Markov Model-Deep Neural Network is basically used as the...

Method used

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

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Embodiment Construction

[0037] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0038] figure 1 It is an application environment diagram of the speech recognition method in one embodiment. refer to figure 1 , the speech recognition method is applied to a speech recognition system. The speech recognition system includes a terminal 110 and a server 120 . Terminal 110 and server 120 are connected via a network. The terminal 110 may specifically be a desktop terminal or a mobile terminal, and the mobile terminal may specifically be at least one of a mobile phone, a tablet computer, a notebook computer, and the like. The server 120 can be implemented ...

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Abstract

The application relates to a speech recognition method and device, a computer device and a storage medium. The above method is characterized by obtaining a target network layer from the network layersof a time delay neural network of band-down sampling; adding a second neural network to the target network layer, using the output data of the target network layer as the input data of the second neural network, wherein the second neural network comprises at least one layer of network; obtaining the to-be-recognized speech data, and inputting the to-be-recognized speech data to the time delay neural network of band-down sampling, and recognizing the to-be-recognized speech via the time delay neural network of band-down sampling and the second neural network to obtain a corresponding speech recognition result. By using the time delay neural network of band-down sampling and the second neural network to recognize the speech data jointly, the better speech recognition result can be obtained.

Description

technical field [0001] The present application relates to the technical field of audio processing, in particular to a speech recognition method, device, computer equipment and storage medium. Background technique [0002] Speech recognition technology generally refers to semantic recognition and voiceprint recognition; in a narrow sense, it refers to the understanding and recognition of speech semantics, also known as automatic speech recognition. Speech recognition technology is a technology that uses computers to recognize digital speech into text. In recent years, speech recognition technology has made great progress and has been widely used in many fields. [0003] A complete speech recognition system includes speech sampling module, feature extraction module and recognition module. The feature extraction module converts the input digital voice signal into the acoustic features used by the recognition system. The speech recognizer uses the acoustic model, dictionary and...

Claims

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Application Information

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IPC IPC(8): G10L15/16G10L15/04G10L15/02G10L25/21G10L25/87
CPCG10L15/02G10L15/04G10L15/16G10L25/21G10L25/87
Inventor 张伟彬
Owner VOICEAI TECH CO LTD
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