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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Format | Patent |
Language | Chinese English |
Published |
10.01.2023
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Abstract | 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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AbstractList | 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 |
Author | FANG JI ZHANG YONGQUAN CAO ZUYANG TAO HUIFANG BAO JUNJIAN CHEN ZHUONAN ZHANG KAIQIANG |
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DocumentTitleAlternate | 一种基于深度学习的声纹采集装置的故障检测方法及装置 |
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Snippet | The embodiment of the invention provides a fault detection method and device for a voiceprint collection device based on deep learning, and the method... |
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Title | Fault detection method and device for voiceprint acquisition device based on deep learning |
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