Speech recognition method, device, device and storage medium
A speech recognition and speech technology, applied in speech recognition, speech analysis, measuring devices, etc., can solve problems such as misidentification of vehicles and machines, and achieve the effect of maintaining effectiveness, improving user experience, and good user experience
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example 1
[0061] Example 1: Using a digital signal processor (DSP, Digital Signal Processor) to eliminate audio signals at other locations. Specifically, it may include: receiving the first voice signal of the microphone in the wake-up voice position; receiving the second voice signals of the microphones in other positions; using DSP to eliminate each of the second voice signals from the first voice signal , to get the signal to be identified. For example, the DSP can subtract signals that wake up individual microphones outside of the speech location.
[0062] In an application scenario, the voice signal received by the driver's microphone includes the voice signal received by the co-pilot's microphone. If the voice signal received by the microphone of the co-pilot can be obtained, the voice signal received by the microphone of the co-pilot can be eliminated from the voice signal received by the microphone of the driver. In this way, the influence of other microphones on the signal re...
example 2
[0063] Example 2: Control the microphone at the wake-up voice position to receive sound, and prohibit the microphone at other positions to receive sound. Specifically, it may include: controlling the microphone at the other position to stop sound collection; and receiving a signal to be recognized from the microphone at the wake-up voice position.
[0064] According to the above method of the embodiment of the present invention, by first determining the wake-up voice position, audio signals at other positions can be suppressed, thereby maintaining the validity of the voice at the wake-up voice position, reducing the impact of noise signals at other positions on speech recognition, Reduce disturbance to wake-up voice location. Therefore, it is more conducive to obtaining accurate speech recognition results and improving user experience.
[0065] In an application example, a speech recognition system of a vehicle is taken as an example. like image 3 As shown, the interior of...
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