Speech recognition method, device, equipment and medium
A voice recognition and voice request technology, applied in voice recognition, voice analysis, instruments, etc., can solve the problems of low recognition accuracy and achieve high recognition accuracy and improve accuracy
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Embodiment 1
[0026] figure 1 It is a flow diagram of a speech recognition method provided in Embodiment 1 of the present invention. The speech recognition method provided in this embodiment is suitable for controlling various smart devices through voice. The smart devices include, for example: smart speakers, smart TVs, Smartphones or smart in-vehicle devices, etc. The speech recognition method is executed by a speech recognition device, which is implemented by software and / or hardware, and is generally integrated into a terminal, such as a smart speaker, a smart TV, a smart phone, or a smart vehicle-mounted device. For details, see figure 1 Shown, described speech recognition method comprises the steps:
[0027] Step 110, acquire a voice request.
[0028] Specifically, the voice request can be obtained through the voice pickup input device; for example, the voice request sent by the user to the TV can be obtained through a voice remote control; or the voice request sent by the user to ...
Embodiment 2
[0056] image 3 For a schematic structural diagram of a speech recognition device provided in Embodiment 2 of the present invention, see image 3 As shown, the device includes: an acquisition module 310 and an identification module 320;
[0057] Wherein, the obtaining module 310 is used to obtain the voice request; the recognition module 320 is used to perform voice recognition on the voice request based on a pre-trained voice recognition system, and obtain the intention information corresponding to the voice request; wherein, the pre-trained The trained speech recognition system is obtained by performing real-time training based on the training metadata obtained in real time.
[0058] Further, the device also includes:
[0059] A metadata acquisition module for acquiring training metadata in real time;
[0060] Wherein, the training metadata includes at least one of video metadata, buzzword metadata, foreign vocabulary metadata, and smart device native control metadata.
...
Embodiment 3
[0079] Figure 4 It is a schematic structural diagram of an electronic device provided by Embodiment 5 of the present invention. Figure 4 A block diagram of an exemplary electronic device 12 suitable for use in implementing embodiments of the invention is shown. Figure 4 The electronic device 12 shown is only an example, and should not limit the functions and scope of use of the embodiments of the present invention.
[0080] Such as Figure 4 As shown, electronic device 12 takes the form of a general-purpose computing device. Components of electronic device 12 may include, but are not limited to, one or more processors or processing units 16, system memory 28, bus 18 connecting various system components including system memory 28 and processing unit 16.
[0081] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of ...
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