Speech recognition-based control method, device and electronic equipment
A technology of speech recognition and control method, which is applied in speech recognition, speech analysis, data exchange through path configuration, etc., which can solve problems such as inconvenient use, inaccurate recognition, and unhumanized system design, and alleviate the high error rate , the effect of reducing the probability of false triggering
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Embodiment 1
[0025] According to an embodiment of the present invention, an embodiment of a control method based on speech recognition is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.
[0026] figure 1 is a flow chart of a control method based on speech recognition according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:
[0027] Step S102, when the smart home device is in a wake-up state, collect a first voice signal, wherein the first voice signal carries first voice information;
[0028] In the embodiment of the present invention, before controlling the smart home device, it is necessary to wake up the smart ho...
Embodiment approach 1
[0048] After the voice signal collector acquires the second voice signal, it judges whether the second voice signal is Mandarin, wherein the processor can determine the second voice signal by judging the degree of similarity between the second voice signal and Mandarin Whether it is Mandarin. If it is determined that the second voice signal is Mandarin, the second voice information carried in the second voice signal is compared with the wake-up word in wake-up phrase 1, wherein wake-up phrase 1 is a wake-up word in Mandarin.
[0049] If it is judged that the second speech signal is not Mandarin, then determine the region information to which the second speech signal belongs; wherein, the degree of similarity between the second speech signal and each dialect can be calculated respectively to determine the region to which the second speech signal belongs information; in addition, the second voice signal can also be used as the input of the target neural network, so that the targ...
Embodiment approach 2
[0054] In the embodiment of the present invention, the user can set the recognition mode of the smart home device, for example, set the recognition mode of the smart home device to a Mandarin recognition mode or a dialect recognition mode. Wherein, the user can manually set the recognition mode, and can also set the recognition mode by voice, which is not specifically limited.
[0055] After the recognition mode of the smart home device is set, the voice signal collector of the smart home device can collect the voice signal (ie, the second voice signal) sent by the user. Then, the speech information carried by the speech signal is recognized according to the recognition mode set above. Further, a second control instruction is generated according to the recognition result, so as to control the smart home device to perform a corresponding target action according to the second control instruction. A specific example will be described below to introduce the second implementation ...
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