Training sample selection method and device for speech recognition model, and medium
A speech recognition model and training sample technology, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as inability to correctly identify input, pronunciation errors, etc., to improve accuracy and practicability, improve fault tolerance, and achieve pronunciation fault tolerance processing effect
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[0029] Embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art would recognize that the described embodiments can be modified in various ways or combinations thereof without departing from the spirit and scope of the invention. Accordingly, the drawings and description are illustrative in nature and not intended to limit the scope of the claims. Also, in this specification, the drawings are not drawn to scale, and like reference numerals denote like parts.
[0030] figure 1 It is a schematic flow chart of the training sample selection method of the speech recognition model of the present invention, as figure 1 As shown, the training sample selection method of the speech recognition model of the present invention includes:
[0031] Step S1, obtaining the correct pronunciation training samples of the speech to be recognized, wherein the correct pronunciation training samples are the training samples de...
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