Event analysis model training method, event analysis method and device
A technology for analyzing models and events, applied in speech analysis, neural learning methods, biological neural network models, etc., can solve the problem of low accuracy and achieve the effect of improving accuracy
Pending Publication Date: 2022-04-08
UNIV OF SCI & TECH OF CHINA
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[0003] In the process of realizing the concept of the present disclosure, the inventors have found that there are at least the following problems in the related art: the accuracy of event analysis based on sound is low
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[0045] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concepts of the present disclosure.
[0046] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The terms "comprising", "comprising", etc. used herein indicate the presence of stated features,...
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The invention provides an event analysis model training method, an event analysis method and an event analysis device. The event analysis model training method comprises the steps that a training sample data set is acquired, and training samples in the training sample data set comprise a plurality of Mel-spectrum cepstrum feature training matrixes corresponding to a plurality of pieces of training audio information and corresponding label data; for each type of training audio information, training a first initial neural network by using a plurality of Mel-spectrum cepstrum feature training matrixes and label data to obtain a first neural network; fusing the plurality of first neural networks according to the model parameters of the plurality of first neural networks to obtain a fusion model; using the fusion model to initialize a plurality of second initial neural networks to obtain a plurality of initialized second initial neural networks; and training a plurality of initialized second initial neural networks by using a plurality of target dimension features to obtain a trained event analysis model, the target dimension features being generated according to the training audio information.
Description
technical field [0001] The present disclosure relates to the technical field of speech processing, and more specifically, to a sound-based event analysis model training method, event analysis method, event analysis model training device, event analysis device, electronic equipment, computer-readable storage medium, and computer program product. Background technique [0002] With the rapid development of artificial intelligence and computer technology, event analysis methods are of great significance in various fields, including acoustic scene classification, speaker identification, audio emotion classification, etc. To judge, for example, the physical condition of the subject can also be judged. [0003] In the process of implementing the disclosed concept, the inventors found that there are at least the following problems in the related art: the accuracy of sound-based event analysis is low. Contents of the invention [0004] In view of this, the embodiments of the pres...
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IPC IPC(8): G10L25/24G10L25/30G10L25/51G10L15/06G06N3/08G06N3/04
Inventor 朱秋实张结陈星宇戴礼荣
Owner UNIV OF SCI & TECH OF CHINA