Local accent speech recognition system based on embedded mobile device

A local accent and mobile device technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problem of little local accent recognition and only consider Mandarin, so as to improve the recognition rate, reduce the difficulty, and reduce the workload of learning and training Effect

Inactive Publication Date: 2017-07-21
沃航(武汉)科技有限公司
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AI Technical Summary

Problems solved by technology

So far, the research and development of Chinese speech recognition has basically only considered Mandarin, and the recognition of local accents is still very little

Method used

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  • Local accent speech recognition system based on embedded mobile device
  • Local accent speech recognition system based on embedded mobile device

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Embodiment Construction

[0021] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0022] Such as figure 1 Shown, a kind of local accent speech recognition system based on embedded mobile device, comprises the model training module integrated on the embedded mobile device, feature extraction module and pattern matching module, described model training module is used for local accent speech Collect and train to obtain the entry model of the local accent; the feature extraction module is used to extract the speech features in the input local accent; the pattern matching module is used to extract the speech features according to the entry model Perform voice matching calculations to obtain voice recognition results.

[0023] Specifically: the entry model includes an acoustic model and a linguistic m...

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Abstract

The invention relates to a local accent speech recognition system based on an embedded mobile device. The system comprises a model training module, a feature extraction module and a pattern matching module which are integrated on an embedded mobile device. The model training module is used for collecting and training local accent speech to get an entry model of local accent. The feature extraction module is used for extracting the speech features of an input local accent. The pattern matching module is used for carrying out speech matching calculation on the speech features according to the entry model to get a speech recognition result. The local accent speech recognition system based on an embedded mobile device of the invention can improve the recognition rate of dialectal speech, reduce the difficulty of learning and training during speech recognition used by dialect speakers, and reduce the workload of learning and training. Meanwhile, the system introduces the speech recognition technology to a variety of embedded mobile devices, and can realize intelligent interaction.

Description

technical field [0001] The invention relates to the field of speech recognition, in particular to a local accent speech recognition system based on an embedded mobile device. Background technique [0002] Speech recognition research in China started in 1958, when the Institute of Acoustics of the Chinese Academy of Sciences used a tube circuit to recognize 10 vowels. It was not until 1973 that the Institute of Acoustics of the Chinese Academy of Sciences started computer speech recognition. Due to the constraints of the conditions at that time, China's speech recognition research has been in a stage of slow development. The language model currently used in China is only a probabilistic model. In order for a computer to truly understand human language and express it visually, it must make progress in recognition, which is quite a difficult job. In addition, with the continuous development of hardware resources, some core algorithms such as feature extraction, search algorit...

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Application Information

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IPC IPC(8): G10L15/28G10L15/06G10L15/02
CPCG10L15/28G10L15/02G10L15/06
Inventor 龚鸣敏马作伟金弘林李强
Owner 沃航(武汉)科技有限公司
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