Family activity sound event classification method based on additive spacing capsule network

The invention provides a family activity sound event classification method based on an additive spacing capsule network, and the method comprises the steps: studying classification of unknown types ofaudio samples based on an additive spacing capsule network model; firstly, processing to-be-trained...

Full description

Saved in:
Bibliographic Details
Main Authors LIU BANTENG, WANG ZHANGQUAN, SHI JIAYE, ZHENG QIHANG, CHEN YOURONG
Format Patent
LanguageChinese
English
Published 07.04.2020
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
Online AccessGet full text

Cover

More Information
Summary:The invention provides a family activity sound event classification method based on an additive spacing capsule network, and the method comprises the steps: studying classification of unknown types ofaudio samples based on an additive spacing capsule network model; firstly, processing to-be-trained audio output to create sample pairs, taking a logarithm Mel spectrogram signal category vector as asample; using a capsule neural network model as a backbone; constructing an additive spacing capsule network model by using a Translation layer in combination with the capsule neural network model and an additive spacing SoftMax loss function, optimizing parameters of the additive spacing capsule network model by using a gradient descent method, and finally classifying unknown category samples byusing the optimized model; the method provided by the invention has the advantages of high efficiency, strong stability, high precision and the like, can meet the basic requirements of household activity sound event classifica
Bibliography:Application Number: CN201911145336