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Training method of voice wake-up model, and detection method and device of voice false wake-up

A technology of voice wake-up and training method, applied in voice analysis, voice recognition, instruments and other directions, can solve the problem of high cost

Active Publication Date: 2022-04-15
深圳市友杰智新科技有限公司
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Problems solved by technology

[0003] The main purpose of this application is to provide a training method for a voice wake-up model, a detection method and equipment for voice false wake-up, aiming at solving the disadvantages of retraining the voice recognition model in order to solve the new similar sound false wake-up, and the high cost

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[0034] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0035] refer to figure 1 , an embodiment of the present application provides a method for training a voice wake-up model, including:

[0036] S1: Acquire training corpus, said training corpus includes positive sample corpus and negative sample corpus, said negative sample corpus includes basic sample corpus and difficult sample corpus, and said difficult sample corpus is the analogous vocabulary corpus of preset wake-up words;

[0037] S2: the training corpus is input into the neural network to carry out model training, wherein the neural network includes a basic network,...

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Abstract

The invention provides a voice wake-up model training method and a voice false wake-up detection method and device, in a model training stage, a basic network and a classification layer are recognition network structures of an existing voice wake-up model, and an embedded layer is added into an original recognition network structure as a new plug-in. Therefore, a framework of an original identification network structure does not need to be changed, and expansion is easy. In the model application stage, the wake-up accuracy of the foundation is ensured through a first recognition result output by the foundation network and the classification layer; on the basis, a basic network and a vector distance judgment between a second recognition result output by an embedded layer and a wake-up word feature vector are added, so that whether the similarity between the current recognition result of the voice wake-up model and a preset wake-up word reaches a preset condition or not is recognized; therefore, the recognition accuracy of the whole voice wake-up model on similar voices is improved, and the false wake-up rate is effectively reduced.

Description

technical field [0001] The present application relates to the technical field of voice recognition, and in particular to a training method of a voice wake-up model, a detection method and equipment for false voice wake-up. Background technique [0002] When the wake-up word and command word recognition technology is applied, it can monitor the user's voice in real time and provide corresponding feedback when specific words are detected (such as waking up the device when the wake-up word is detected). However, in practical applications, similar sounds and similar sounds are often misrecognized and falsely awakened, that is, when the pronunciation of the user's voice is close to the wake-up word, there is a certain probability that it will be misrecognized, thereby waking up the device by mistake; The wake-up situation will bring a very bad experience to the user. The existing processing for similar-sound false awakening usually adds negative samples to the training data to i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/06G10L15/10G10L15/16G10L15/22
Inventor 李杰王广新杨汉丹
Owner 深圳市友杰智新科技有限公司
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