Title:
FEATURE ENCODING MODEL GENERATION METHOD, AUDIO DETERMINATION METHOD, AND RELATED DEVICE
Document Type and Number:
WIPO Patent Application WO/2023/134550
Kind Code:
A9
Abstract:
The present disclosure relates to a feature encoding model generation method, an audio determination method, and a related device. The feature encoding model generation method comprises: obtaining 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 by means of a feature encoding model to obtain a plurality of encoding vectors of the plurality of sample audios, and performing classification processing on the plurality of sample audios according to the plurality of encoding vectors to obtain category prediction values of the plurality of sample audios; and determining a target loss value of a target loss function according to the plurality of encoding 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 encoding model on the basis of the target loss value to obtain a trained feature encoding model. The trained feature encoding model obtained by the feature encoding model generation method of the present disclosure can improve the identifiability of feature vectors of audio output and the robustness of a feature encoding model.
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Inventors:
DU XINGJIAN (CN)
WANG ZIJIE (CN)
YU ZHESONG (CN)
ZHU BILEI (CN)
MA ZEJUN (CN)
WANG ZIJIE (CN)
YU ZHESONG (CN)
ZHU BILEI (CN)
MA ZEJUN (CN)
Application Number:
PCT/CN2023/070800
Publication Date:
August 31, 2023
Filing Date:
January 06, 2023
Export Citation:
Assignee:
BEIJING YOUZHUJU NETWORK TECH CO LTD (CN)
International Classes:
G06F16/683; G06F16/65; G06N3/04; G06N3/08; G10H1/00
Attorney, Agent or Firm:
ZHIFAN & PARTNERS (CN)
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