Speech error correction method, device, equipment and storage medium
An error correction method and voice technology, which is applied in the computer field, can solve problems such as the lack of differentiated voice error correction methods in the field of voice error correction, and achieve the effect of accurate response and improved accuracy
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Embodiment 1
[0025] figure 1 It is a flow chart of the voice error correction method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where, in a voice interaction scenario, for a specific user, combined with the user's own personalized information, the user's voice is corrected. The method can be executed by a speech error correction device, which can be implemented in the form of software and / or hardware, and can be integrated on any device with computing capability, including but not limited to a server.
[0026] like figure 1 As shown, the voice error correction method provided in this embodiment may include:
[0027] S110. Determine at least one language type to which the current query voice belongs according to the user's current query voice and user description information, where the language type includes Mandarin and at least one dialect.
[0028] In the voice interaction scenario, the user's query voice carries the user's query r...
Embodiment 2
[0047] figure 2 It is a flow chart of the speech error correction method provided by Embodiment 2 of the present invention. This embodiment further optimizes and expands on the basis of the foregoing embodiments. like figure 2 As shown, the method may include:
[0048] S210. Determine at least one language type to which the current query voice belongs according to the user's current query voice and user description information, where the language type includes Mandarin and at least one dialect.
[0049] Exemplarily, according to the user's current query voice and user description information, a pre-trained language type analysis model may be used to determine at least one language type to which the current query voice belongs. The language type analysis model is used to predict the language type of the user's query speech. The training process of the language type analysis model includes: taking the query voice and user description information of multiple sample users (re...
Embodiment 3
[0067] image 3 It is a schematic structural diagram of the speech error correction device provided by Embodiment 3 of the present invention. This embodiment is applicable to the case of correcting a user's speech for a specific user in combination with the user's own personalized information in a speech interaction scenario. The voice error correction device provided in this embodiment can be realized by software and / or hardware, and can be integrated on any device with computing capability, including but not limited to a server.
[0068] like image 3 As shown, the speech error correction device provided in this embodiment includes a language type determination module 310, a speech error correction model determination module 320 and a speech error correction module 330, wherein:
[0069] A language type determination module 310, configured to determine at least one language type to which the current query voice belongs according to the user's current query voice and user de...
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