Voice waking-up method and system thereof

Abstract

The invention relates to a voice waking-up method and a system thereof, wherein the method comprises the following steps of performing an enframing windowing operation on original voice data for acquiring a voice frame which corresponds with original voice, and extracting acoustic characteristic information of the voice frame; calculating the acoustic characteristic information for obtaining a deep neural network classification model; recording field voice data, extracting the acoustic characteristic information which corresponds with the field voice data, and inputting the acoustic characteristic information which corresponds with the field voice data into the deep neural network classification model, thereby obtaining posterior probability information; and comparing the posterior probability information with a preset threshold, and when the confidence is higher than the preset threshold, waking up voice recording equipment. The voice waking-up method and the system thereof have advantages of effectively improving waking-up performance in a noise scene, performing simulation such as voice speed, pitch and sound volume on the original data, and effectively improving adaptability ofthe waking-up system to different speakers.

Description

technical field [0001] The invention relates to the field of voice recognition, in particular to a voice wake-up method and system. Background technique [0002] Voice wake-up technology is an important branch in the field of voice recognition. It is widely used in voice interactive systems such as mobile terminals, smart homes, and car navigation, so that users can wake up devices with voice commands. More specifically, the task of the voice wake-up system is to automatically detect a predefined wake-up word from the received voice in the background without interruption, which is generally called keyword detection (Keyword Spotting, KWS). When the system detects When the corresponding keyword is selected, the device will wake up and enter a specific working state. [0003] At present, two indicators are mainly used to evaluate the performance of a voice wake-up system: one is the false rejection rate (FalseReject Rate, FRR), which refers to the probability that the system ...

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Problems solved by technology

[0005] Based on this, it is necessary to address the above-mentioned premise of controlling the low false alarm rate, how to reduce the false rejection rate in various complex scenarios as much as possible, and how to improve the robustness of the wake-up system to the speaker's speech rate and accent changes. , providing a voice wake-up method and system

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