Voice purity recognition method and device, storage medium and electronic device

A recognition method and voice technology, applied in the field of communication, can solve the problem of low accuracy of voice recognition purity, and achieve the effect of improving accuracy and high recognition accuracy.

Pending Publication Date: 2020-11-27
HAIER YOUJIA INTELLIGENT TECH BEIJING CO LTD
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AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide a speech purity recognition method, device, storage medium, a

Method used

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Examples

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Example Embodiment

[0034] Finally, feature extraction. Based on the cyclic neural network model, extract 22-dimensional Bark frequency domain features, first-order and second-order differences of 6 Bark frequency-domain features, 6 coefficients related to audio tone features, 1 tone period, and 1 spectrum dynamic feature , a total of 42 features. It should be noted that the number of features extracted above is only an exemplary implementation, and the number of features can be set manually, for example, 40 features, 44 features, etc. can also be used.

[0035] Exemplarily, the execution subject of the above steps may be a background processor, or other devices with similar processing capabilities, and may also be a machine integrated with at least an audio acquisition device and a data processing device, wherein the audio acquisition device may include a microphone, etc. The audio collection module and data processing equipment may include terminals such as computers and mobile phones, but are no

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Abstract

The embodiment of the invention provides a voice purity recognition method and device, a storage medium and an electronic device. The method comprises steps of obtaining the signal features of a target audio; identifying the signal features by using a first model; the voice purity of the target audio is determined; wherein the first model is a model obtained by performing machine learning trainingon an initial model by using multiple sets of training data; wherein each set of data in the plurality of sets of training data comprises a plurality of sets of data; wherein the first audio and theidentification information are used for identifying the voice purity of the first audio, the first audio is an audio obtained by scrambling the second pure voice by using the first pure voice, the first pure voice and the second pure voice are voices included in the same pure audio, and the pure audio is an audio without noise. According to the method, a problem of low voice purity recognition accuracy in related technologies is solved, and the effect of improving the voice purity recognition accuracy is achieved.

Description

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Claims

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Application Information

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Owner HAIER YOUJIA INTELLIGENT TECH BEIJING CO LTD
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