Voice wake-up method and device

Abstract

The invention discloses a voice wake-up method and device, wherein the voice wake-up method comprises the following steps: S1, acquiring a wake-up word, generating a junk word, which meets the preset condition, according to the wake-up word, and establishing a recognition network according to the wake-up word and the junk word; S2, acquiring voice information, which is inputted by a user, segmenting the voice information into a plurality of voice frames, and extracting acoustic features in each voice frame; S3, sequentially conducting likelihood computation on the acoustic features according to an acoustic model of a convolutional neural network to obtain the acoustic feature score of each acoustic feature; S4, selecting an optimal identification path from the recognition network according to the acoustic feature scores, and considering a voice result corresponding to the optimal identification path as an identification result; and S5, calculating the confidence corresponding to the identification result according to the identification result, and acquiring the wake-up result according to the confidence and outputting the wake-up result. The voice wake-up method and device, disclosed by the embodiment of the invention, have the advantages that the calculated amount is small, the power consumption is low, the false alarm rate of voice wake-up can be reduced, and the user's experiment is improved.

Description

technical field [0001] The invention relates to the technical field of voice recognition, in particular to a voice wake-up method and device. Background technique [0002] Voice wake-up technology is an important branch of voice recognition technology. Voice wake-up technology is mainly used in car navigation, smart home and other fields. Users can start programs or services through voice commands without manual operation. [0003] At present, the voice wake-up technology is mainly divided into three types: the first method is the confidence-based voice wake-up technology, which calculates the confidence of the voice information input by the user, and judges whether to wake up by voice according to the confidence. The second method is the voice wake-up technology based on the recognition engine, which uses the language model as the decoding network to decode and recognize the voice information input by the user, and then judges whether the voice wakes up according to the rec...

AI Technical Summary

Problems solved by technology

[0004] However, the first method only judges whether the voice is awakened by the confidence level. Due to the different environments, the preset threshold value of the confidence level will also change accordingly, so the preset threshold value is difficult to determine and has limitations; the second method requires a large amount of calculation. High power consumption and poor practicability; the third method is difficult to wake up successfully in a noisy environment or wakes up whether the user speaks a wake-up word, high false alarm rate, and poor user experience

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