Switching method and device for multiple voice identification models
A speech recognition model and language recognition technology, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as low efficiency and insufficient intelligence, and achieve the effect of improving switching efficiency
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Embodiment 1
[0022] figure 1 This is a flowchart of a method for switching between multiple voice recognition models provided in the first embodiment of the present invention. This embodiment is applicable to the case of switching under multiple voice recognition models. This method can be implemented by the multiple voice recognition methods provided by the embodiments of the present invention. Switch the device to execute, the device can be integrated in a mobile terminal, a fixed terminal or a server, such as figure 1 As shown, specifically including:
[0023] S101. Acquire at least one piece of voice information in the voice input by the user.
[0024] Wherein, the voice information may be part of the voice information in the intercepted input voice, or may be a complete voice information of the user. The voice information may include one or more voice sentences.
[0025] Specifically, the voice can be collected through the microphone of the terminal. For example, a voice input button is pr...
Embodiment 2
[0067] figure 2 This is a flowchart of a method for switching multiple speech recognition models provided in the second embodiment of the present invention. Based on the above-mentioned embodiment, this embodiment will recognize the voice information and match the language category to determine the degree of matching The corresponding target language category is optimized to recognize the voice information based on the characteristics of at least two language categories, and obtain the degree of similarity between the voice information and each language category, and use the degree of similarity as the matching degree of the language category. Such as figure 2 As shown, specifically including:
[0068] S201: Acquire at least one piece of voice information in the voice input by the user.
[0069] S202: Recognizing the voice information based on the characteristics of the at least two language categories, and obtaining the degree of similarity between the voice information and each...
Embodiment 3
[0074] image 3 This is a flowchart of a method for switching multiple speech recognition models provided in the third embodiment of the present invention. On the basis of the above-mentioned embodiment, this embodiment performs recognition and language category matching on the voice information to determine the corresponding The target language category is optimized to recognize at least two voice sentences contained in the voice information to obtain the matching degree of each voice sentence with the language category; determine the initial language category according to the matching degree, and determine the initial language category according to the matching degree of each voice sentence and The matching degree of the initial language category determines the corresponding target language category. Such as image 3 As shown, specifically including:
[0075] S301. Acquire at least two voice sentences in the voice input by the user.
[0076] S302. Recognize the at least two voic...
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