Applying the FN-Corrector to improve the quality of audio event classifica

Applying the FN-Corrector to improve the quality of audio event classifica

The paper deals with the problem of acoustic events classification which is actively applied to the problems of a safe city, smart home, IoT devices, and for the detection of industrial accidence. A solution to improve the accuracy of classifiers without changing their structure and collecting add...

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Bibliographic Details
Main Authors: Alexander M. Golubkov, Evgeny V. Shuranov
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2022-08-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
acoustic event detection
audio processing
fn-corrector
false negative corrector
dsp
cnn
convolutional neural network
Online Access:https://ntv.ifmo.ru/file/article/21352.pdf

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