Title:
HAPTIC FEEDBACK METHOD AND SYSTEM BASED ON MUSIC TRACK SEPARATION AND VIBRATION MATCHING, AND RELATED DEVICE
Document Type and Number:
WIPO Patent Application WO/2024/082389
Kind Code:
A1
Abstract:
The present invention relates to the field of deep learning technology application, in particular to a haptic feedback method and system based on music track separation and vibration matching, and a related device. The method comprises: acquiring original audio data; performing track separation on the original audio data by using a preset deep learning model, so as to obtain a plurality of pieces of track audio data; calculating a corresponding energy proportion of each piece of track audio data in the original audio data; determining, according to the energy proportion, the weight of each piece of corresponding track audio data; performing weighted calculation on all pieces of track audio data according to a preset weighting rule to obtain a time-frequency spectrum; generating, according to the time-frequency spectrum, a matching vibration signal corresponding to the original audio data; and outputting the matching vibration signal, such that a haptic feedback effect is realized. Compared with the related art, the present invention allows a user to obtain a better haptic feedback experience by means of matching audio data with vibrations and outputting vibration feedback which more accurately matches the rhythm, groove, etc., of the audio data.
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Inventors:
MENG ZENGYOU (CN)
CAO MENGYA (CN)
PEI SHIYU (CN)
ZHENG YAJUN (CN)
CAO MENGYA (CN)
PEI SHIYU (CN)
ZHENG YAJUN (CN)
Application Number:
PCT/CN2022/136291
Publication Date:
April 25, 2024
Filing Date:
December 02, 2022
Export Citation:
Assignee:
AAC ACOUSTIC TECH SHANGHAI CO LTD (CN)
International Classes:
G06F3/01
Attorney, Agent or Firm:
SHENZHEN JUNXINCHENG INTELLECTUAL PROPERTY FIRM (GENERAL PARTNERSHIP) (CN)
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