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Voice verification method and device, electronic equipment and computer readable storage medium

A technology for voice verification and model verification, applied in the field of neural networks, which can solve the problems of large training data, high delay of voice wake-up, and many parameters.

Active Publication Date: 2020-01-17
MOBVOI INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, a variety of command words matching various commands are often set in voice control for the convenience of users. However, the neural network model used to verify various command words often has a complex structure, many parameters, a large amount of training data, and a long training time. It consumes a lot of power to operate
[0003] However, for low-power devices such as headphones, the high complexity and high computational load of the model will consume a lot of power, and if the complexity of the model is reduced to save power, it will affect the accuracy of command word recognition
Moreover, due to the computing limitations of low-power devices, the use of high-precision complex models will also cause high delays in voice wake-up, which will reduce the user experience of the device

Method used

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Embodiment Construction

[0029] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0030] figure 1 A flow chart of a voice verification method according to an embodiment of the present invention is shown.

[0031] Such as figure 1 As shown, the flow process of the voice verification method according to an embodiment of the present invention includes:

[0032] Step 102, collecting sound signals in real time.

[0033] Ste...

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Abstract

The invention discloses a voice verification method and device, electronic equipment and a computer readable storage medium. The method comprises the steps of collecting a sound signal in real time; extracting audio features of the sound signals; inputting the audio features into a multi-classification verification model, and outputting a confidence coefficient set through the multi-classificationverification model, the confidence coefficient set comprising confidence coefficients of non-command words and confidence coefficients of a plurality of command words; selecting the maximum confidence in the confidence set; based on the condition that the maximum confidence coefficient is not the confidence coefficient of the non-command word, loading a binary classification verification model corresponding to the target command word to which the maximum confidence coefficient belongs; inputting the audio features into a binary classification verification model, and outputting a target confidence coefficient of the target command word through the binary classification verification model; and executing a function matched with the target command word based on the condition that the target confidence coefficient is greater than a specified threshold. Through the technical scheme of the invention, the equipment can ensure the accuracy of command word detection while saving power consumption and system resource consumption.

Description

technical field [0001] The invention relates to the technical field of neural networks, in particular to a voice verification method and device, electronic equipment and a computer-readable storage medium. Background technique [0002] At present, a variety of command words matching various commands are often set in voice control for the convenience of users. However, the neural network model used to verify various command words often has a complex structure, many parameters, a large amount of training data, and a long training time. It consumes a lot of power to operate. [0003] However, for low-power devices such as earphones, the high complexity and high computational load of the model will consume a lot of power, and if the complexity of the model is reduced to save power, it will affect the accuracy of command word recognition. Moreover, due to the computing limitations of low-power devices, the use of high-precision complex models will also cause high delays in voice...

Claims

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Application Information

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IPC IPC(8): G10L15/02G10L15/22
CPCG10L15/02G10L15/22
Inventor 崔凡李深雷欣李志飞
Owner MOBVOI INFORMATION TECH CO LTD
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