Method and device for controlling speech recognition
A technology for speech recognition and control of speech, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as inconvenience and inconvenience of mobile phone clicks
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Embodiment 1
[0050] figure 1 The flow chart of the method for controlling voice recognition provided by Embodiment 1 of the present invention, in this embodiment, only emoticon images and gesture images are used as user behavior images for description, as shown in figure 1 As shown, the method includes the following steps:
[0051] In step 101, the classification model is trained in advance according to the set speech recognition activation expression images and gesture images to obtain a speech recognition activation model.
[0052] Specifically, first obtain the training data, which contains the set facial expression images and gesture images for voice recognition startup, which are called voice recognition startup facial expressions and voice recognition startup gesture images, for example, scissors hands, The ok gesture, smile, and wink are used as speech recognition startup gesture images and facial expression images, and these images are used as positive sample data; in addition, in...
Embodiment 2
[0074] figure 2 The structure diagram of the device for controlling speech recognition provided by Embodiment 2 of the present invention, the device for controlling speech recognition is connected to the controlled speech recognition device, and is connected to the image acquisition device. The image acquisition device here can use but Not limited to cameras. Taking a mobile phone as an example, the device for controlling speech recognition provided by the present invention is used to control the speech recognition device in the mobile phone, and is connected to the camera of the mobile phone to obtain images captured by the camera. like figure 2 As shown, the device includes: an acquiring unit 01 , a judging unit 02 and a starting unit 03 .
[0075] Wherein, the acquisition unit 01 acquires the user's behavior image through an image acquisition device. The user behavior images include: expression images, gesture images or body images.
[0076] Then the judgment unit 02 ...
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