Efficient Noisy Sound-Event Mixture Classification Using Adaptive-Sparse Complex-Valued Matrix Factorization and OvsO SVM

Efficient Noisy Sound-Event Mixture Classification Using Adaptive-Sparse Complex-Valued Matrix Factorization and OvsO SVM

This paper proposes a solution for events classification from a sole noisy mixture that consist of two major steps: a sound-event separation and a sound-event classification. The traditional complex nonnegative matrix factorization (CMF) is extended by cooperation with the optimal adaptive <i>...

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Bibliographic Details
Main Authors: Phetcharat Parathai, Naruephorn Tengtrairat, Wai Lok Woo, Mohammed A. M. Abdullah, Gholamreza Rafiee, Ossama Alshabrawy
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
audio signal processing
sound event classification
nonnegative matric factorization
blind signal separation
support vector machines
Online Access:https://www.mdpi.com/1424-8220/20/16/4368

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