Method and device for improving voice wake-up performance

Abstract

The present invention discloses a method and device for improving voice wake-up performance, wherein, a method for improving voice wake-up performance includes: detecting an input signal in the form of a voice frame, and judging that the voice frame is a suspected voice frame or a non-voice frame; The suspected speech frame and non-speech frame determine the effective speech segment, and determine the weighting factor based on the proportion of the suspected speech frame and non-speech frame in the input signal; the effective speech segment is input into the wake-up model, wherein the wake-up model is based on the collected A multi-classification model obtained after supervised deep neural network learning of wake-up word positive samples and non-wake-up word negative examples; obtain the output of the adaptive wake-up model, and use the weighting factor to weight the output, based on the weighted calculated The output determines whether to wake the device. The solution provided by the present application can effectively suppress the false wake-up rate in noise scenes, and further, can also specifically improve the wake-up rate for specific users.

Description

technical field [0001] The invention belongs to the technical field of voice wake-up, and in particular relates to a method and a device for improving voice wake-up performance. Background technique [0002] Among the related technologies, there is no example on the market that improves the wake-up rate and reduces false wake-ups. There is a trade-off relationship between wake-up and false wake-up. At present, one of them is chosen for optimization in the market, and the other is optimized on the basis of keeping one basically unchanged. In terms of reducing false wake-ups, it is more representative to add secondary verification; in terms of improving the wake-up rate, it is mainly to lower the wake-up threshold. [0003] In the process of implementing the present application, the inventor found that the following solutions mainly exist in the prior art: [0004] 1. Add a secondary verification module, set a double threshold, and the wake-up engine will make a preliminary ...

AI Technical Summary

Problems solved by technology

[0006] Among them, on the one hand, the secondary verification will increase the power consumption of the device, increase the delay, and affect the user's interactive experience in practice; in addition, there is a risk of crashes on some devices with limited computing resources, which cannot be popularized to those with weak computing power. On the device, the rapid reduction of false wake-ups is also accompanied by a reduction in the wake-up rate

On the other hand, lowering the wake-up threshold can effectively increase the wake-up rate, but at the same time it will increase false wake-ups.

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