Title:
ディープラーニングに基づく音質特性処理方法及びシステム
Document Type and Number:
Japanese Patent JP7137639
Kind Code:
B2
Abstract:
The present invention provides a deep learning based method and system for processing sound quality characteristics. The method comprises: obtaining data characteristics of an audio data to be processed by extracting features from user preference data including the audio data to be processed; based on the data characteristics, generating a sound quality processing result of the audio to be processed by using a trained baseline model; wherein the baseline model is a neural network model trained by using audio data behavioral data, and other relevant data from multiple users or a single user.
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Inventors:
Yao Aoyama
Qin Yu
Hirofumi
Roh Fong
Yang Moe
Qin Yu
Hirofumi
Roh Fong
Yang Moe
Application Number:
JP2020567946A
Publication Date:
September 14, 2022
Filing Date:
June 03, 2019
Export Citation:
Assignee:
Anker Innovations Technology Co.,Ltd.
International Classes:
H04R3/04; G10K15/00
Domestic Patent References:
| JP2017054121A | ||||
| JP2018031967A | ||||
| JP2018005048A | ||||
| JP2018028580A |
Attorney, Agent or Firm:
try international patent corporation