Speech wake-up method and device
A voice wake-up and voice segment technology, applied in speech analysis, voice recognition, instruments, etc., can solve the problem of high false wake-up rate, reduce the false wake-up rate and improve the wake-up accuracy rate
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Embodiment 1
[0058] In order to solve the technical problem of high false wakeup rate in the prior art, an embodiment of the present disclosure provides a voice wakeup method. Such as figure 1As shown, the voice wake-up method mainly includes the following steps S11 to S15.
[0059] Step S11: Acquire a voice signal.
[0060] Wherein, the voice signal includes a wake-up word. For example, the wake word could be Hello Teng!
[0061] Specifically, the voice signal can be acquired through a smart device, such as a smart phone, a tablet computer or a desktop computer; the voice signal comes from a user.
[0062] Step S12: Input the speech signal into a first model, and output the first posterior probability of each frame of phoneme in the speech signal through the first model.
[0063] Wherein, the first model may be an acoustic model.
[0064] Specifically, a batch of voice signals can be obtained and marked, for example, if the voice signal contains a preset keyword (for example, device...
Embodiment 2
[0100] In order to solve the technical problem of high false wakeup rate in the prior art, an embodiment of the present disclosure provides a voice wakeup device. The device can execute the steps in the embodiment of the voice wake-up method described in the first embodiment above. Such as figure 2 As shown, the device mainly includes: a voice acquisition module 21, a first posterior probability determination module 22, a wake-up speech segment determination module 23, a second posterior probability determination module 24 and a wake-up module 25; wherein,
[0101] Voice acquiring module 21 is used for acquiring voice signal;
[0102] The first posterior probability determining module 22 is used to input the speech signal into a first model, and output the first posterior probability of each frame of phoneme in the speech signal through the first model;
[0103] The wake-up speech segment determination module 23 is used to use the speech signal corresponding to the phoneme ...
Embodiment 3
[0115] Refer below image 3 , which shows a schematic structural diagram of an electronic device 300 suitable for implementing the embodiments of the present disclosure. The terminal equipment in the embodiment of the present disclosure may include but not limited to such as mobile phone, notebook computer, digital broadcast receiver, PDA (personal digital assistant), PAD (tablet computer), PMP (portable multimedia player), vehicle terminal (such as mobile terminals such as car navigation terminals) and fixed terminals such as digital TVs, desktop computers and the like. image 3 The illustrated electronic device is only an example, and should not impose any limitation on the functions and scope of use of the embodiments of the present disclosure.
[0116] Such as image 3 As shown, the electronic device 300 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 301, which may be loaded into a random access memory (RAM) accordin...
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