Wake-up word recognition method, device, electronic device, and computer-readable storage medium
A recognition method and wake-up word technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of inconvenient use, inability to fix, increase design complexity and R&D cost, and reduce complexity, reduce R&D cost, The effect of improving recognition efficiency and response speed
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Embodiment 1
[0033] The embodiment of the present invention provides a wake-up word recognition method, which can be executed by an intelligent voice device, such as figure 1 As shown, it includes: step S110, obtaining the speech information to be recognized input by the user; step S120, based on the preset speech recognition model, determining the first syllable sequence corresponding to the speech information; step S130: determining whether the first syllable sequence includes The second syllable sequence of the preset wake-up word; Step S140: If yes, determine that the voice information includes the preset wake-up word, and perform a corresponding wake-up operation.
[0034] Specifically, the embodiment of the present invention may be executed by an intelligent voice device, or may be executed by a server, which is not limited by the embodiment of the present invention. Among them, the wake-up word recognition process of the intelligent voice device as the execution subject is roughly t...
Embodiment 2
[0049] The embodiment of the present invention provides another possible implementation manner. On the basis of the first embodiment, the method shown in the second embodiment is also included, wherein,
[0050] The speech recognition model includes a list of syllables, which includes either non-pitched syllables or pitched syllables.
[0051] Step S120 includes step S1201 (not marked in the figure) and step S1202 (not marked in the figure), wherein,
[0052] Step S1201: Divide the voice information according to the length of the voice segment of the preset wake-up word to obtain multiple voice information segments.
[0053] Step S1202: Based on the preset speech recognition model, determine the third syllable sequences respectively corresponding to the plurality of speech information segments.
[0054] Step S130 includes step S1301 (not marked in the figure) and step S1302 (not marked in the figure), wherein,
[0055] Step S1301: Determine whether any third syllable sequenc...
Embodiment 3
[0066] The embodiment of the present invention provides another possible implementation manner. On the basis of the second embodiment, the method shown in the third embodiment is also included, wherein,
[0067] Step S100 (not marked in the figure) and step S101 (not marked in the figure) are also included before step S110, wherein,
[0068] Step S100: Receive an input audio signal.
[0069] Step S101: Perform noise filtering processing on the audio signal to obtain voice information in the audio signal.
[0070]Specifically, when the smart voice device is turned on, it usually receives the input audio signal in real time through its built-in high-performance audio acquisition device (such as a microphone, microphone array), wherein, in a very quiet scene, the audio signal can be Only the speech of the user is included, and in a slightly noisy environment, the audio signal may be speech including various noises.
[0071] Further, after receiving the input audio signal, the a...
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