Fault detection method and device for voiceprint acquisition device based on deep learning
The embodiment of the invention provides a fault detection method and device for a voiceprint collection device based on deep learning, and the method comprises the steps: carrying out the permutation and combination of the fault types of the voiceprint collection device, obtaining fault voiceprint...
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Main Authors | , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
10.01.2023
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Subjects | |
Online Access | Get full text |
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Summary: | The embodiment of the invention provides a fault detection method and device for a voiceprint collection device based on deep learning, and the method comprises the steps: carrying out the permutation and combination of the fault types of the voiceprint collection device, obtaining fault voiceprint information and normal voiceprint information, carrying out the preprocessing, obtaining corresponding normal frequency domain features and fault frequency domain features, and carrying out the detection of the fault types of the voiceprint collection device. And inputting the normal frequency domain feature, the fault frequency domain feature and the fault type into a convolutional neural network model for training, outputting the operation voiceprint information of the target equipment to the convolutional neural network model, and judging whether the target equipment has a fault or not and the fault type according to the output fault type data. By adopting the method, whether the voiceprint acquisition device ha |
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Bibliography: | Application Number: CN202211594009 |