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Feature coding model generation method, audio determination method and related device

A feature encoding and model generation technology, applied in the field of artificial intelligence, can solve problems such as audio difficulties, and achieve the effect of improving robustness, reducing differences, and increasing differences

Pending Publication Date: 2022-05-17
BEIJING YOUZHUJU NETWORK TECH CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

In related technologies, it is possible to determine whether the audios belong to the same audio through the feature vector of the audio, and then complete the cover retrieval task. However, due to the variety of audio changes, it is very difficult to judge whether the audios belong to the same audio. Therefore, how to improve The discriminability of audio feature vectors is an urgent technical problem to be solved

Method used

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  • Feature coding model generation method, audio determination method and related device
  • Feature coding model generation method, audio determination method and related device
  • Feature coding model generation method, audio determination method and related device

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Embodiment Construction

[0040] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the drawings, it should be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein; A more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for exemplary purposes only, and are not intended to limit the protection scope of the present disclosure.

[0041] It should be understood that the various steps described in the method implementations of the present disclosure may be executed in different orders, and / or executed in parallel. Additionally, method embodiments may include additional steps and / or omit performing illustrated steps. The scope of the present disclosure is not limited in this regard. ...

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Abstract

The invention relates to a feature coding model generation method, an audio determination method and a related device. The feature coding model generation method comprises the following steps: acquiring a plurality of sample audios marked with category labels; extracting audio features of the plurality of sample audios; encoding the audio features of the plurality of sample audios through a feature encoding model to obtain a plurality of encoding vectors of the plurality of sample audios, and classifying the plurality of sample audios according to the plurality of encoding vectors to obtain category predicted values of the plurality of sample audios; and determining a target loss value of the target loss function according to the plurality of coding vectors, the category prediction values of the plurality of sample audios and the category labels of the plurality of sample audios, and updating parameters of the feature coding model based on the target loss value to obtain a trained feature coding model. The trained feature coding model obtained by the feature coding model generation method can improve the identifiability of the feature vector of the audio output and the robustness of the feature coding model.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and in particular, to a method for generating a feature coding model, a method for determining audio, and related devices. Background technique [0002] Music works usually contain very rich elements, such as rhythm, melody, harmony, etc., presenting a multi-level internal structure. Therefore, very rich changes can be introduced into the cover of a musical work, making the musical work change in multiple aspects such as pitch, timbre, speed, structure, melody and lyrics. In related technologies, it is possible to determine whether the audios belong to the same audio through the feature vector of the audio, and then complete the cover retrieval task. However, due to the variety of audio changes, it is very difficult to judge whether the audios belong to the same audio. Therefore, how to improve The discriminability of audio feature vectors is an urgent technical problem ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/683G06F16/65G06K9/62G06N3/04G06N3/08G10H1/00
CPCG06F16/683G06F16/65G10H1/0008G06N3/08G10H2210/031G06N3/045G06F18/241
Inventor 杜行健王孜杰于哲松朱碧磊马泽君
Owner BEIJING YOUZHUJU NETWORK TECH CO LTD
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