Voice recognition method and voice recognition terminal
A speech recognition and terminal technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of high cost and large amount of data, and achieve the effect of reducing input cost, reducing data to be processed, and reducing the amount of dialect information
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Example Embodiment
[0026] Example 1:
[0027] like figure 1 As shown, this embodiment provides a method for speech recognition, based on a terminal of speech recognition, the method includes:
[0028] S11. Determine the current dialect.
[0029] Which means to determine the type of dialect in the current location. For example, if the terminal is located in Guangdong Province, the dialect type is Cantonese, and if the terminal is located in Zhejiang Province, the dialect type is Zhejiang dialect.
[0030] S12. Acquire the user's voice information. Under the preset dialect deep learning framework, according to the voice information and the preset general recognition model, a dialect information model corresponding to the current dialect is obtained by training, and the preset general recognition model is used to recognize the voice information. .
[0031] Among them, that is to say, the preset universal recognition model can recognize voice information (such as Mandarin, etc.), but the preset u...
Example Embodiment
[0037] Example 2:
[0038] like figure 2 As shown, this embodiment provides a method for speech recognition, based on a terminal of speech recognition, the method includes:
[0039] S21. Receive a preset general recognition model and a preset dialect deep learning framework from the central server.
[0040] For example, the terminal can download related software from the central server, and the software includes a preset general recognition model and a preset dialect deep learning framework. Specifically, the preset general recognition model can recognize voice information (for example, Mandarin, etc.), but the preset general recognition model is not very accurate for the recognition of specific dialect voice information
[0041] S22. Determine the current dialect.
[0042] Among them, , that is to say, determine the type of dialect in the current location. For example, if the terminal is within the scope of Guangdong Province, the dialect type is Cantonese, and if the ter...
Example Embodiment
[0065] Example 3:
[0066] like image 3 As shown, this embodiment provides a terminal for speech recognition, including:
[0067] The first acquisition module is used to determine the current dialect;
[0068] The model building module is used to obtain the user's voice information. Under the preset dialect deep learning framework, according to the voice information and the preset general recognition model, the dialect information model corresponding to the current dialect is obtained by training, and the preset general recognition model is used. for recognizing voice information.
[0069] The sending module is used for sending the dialect information model to the central server, so that the central server can train the dialect identification model corresponding to the current dialect, and the dialect identification model is used for identifying the current dialect.
[0070] Preferably, the model building module includes:
[0071] a receiving sub-module, configured to rec...
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