Network training method and device based on artificial intelligence, and electronic equipment
An artificial intelligence, network training technology, applied in the field of artificial intelligence, can solve problems such as reducing the accuracy of audio processing
Pending Publication Date: 2021-12-24
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology
This audio processing method brings additional errors in converting audio to text, reducing the accuracy of audio processing
Method used
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[0022] Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.
[0023] The block diagrams shown in the drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices entity.
[0024] The flow charts shown ...
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The embodiment of the invention discloses a network training method and device based on artificial intelligence, electronic equipment and a storage medium. The method comprises the steps of extracting a first audio feature and a second audio feature of an audio sample and a first text feature and a second text feature of a text sample; fusing the first audio feature and the first text feature to obtain a first fused feature, and fusing the second audio feature and the second text feature to obtain a second fused feature; extracting a third audio feature and a fourth audio feature corresponding to the first fusion feature, and extracting a third text feature and a fourth text feature corresponding to the second fusion feature; fusing the third audio feature and the third text feature, and fusing the fourth audio feature and the fourth text feature; and adjusting parameters of the second audio feature extraction network based on the sum of the first loss value and the second loss value, so that the second audio feature extraction network has the capability of extracting features similar to the text sample in the audio sample.
Description
technical field [0001] The present application relates to the technical field of artificial intelligence, in particular, to an artificial intelligence-based network training method, device, electronic equipment, and storage medium. Background technique [0002] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. Artificial intelligence basic technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, and mechatronics. Artificial intelligence software technology mainly includes computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language ...
Claims
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Patent Timeline
Login to View More IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/047G06N3/048G06N3/044G06N3/045G06F18/2414G06F18/2415G06F18/253
Inventor 张旭龙王健宗
Owner PING AN TECH (SHENZHEN) CO LTD