Semi-Supervised NMF-CNN for Sound Event Detection

Semi-Supervised NMF-CNN for Sound Event Detection

The lack of strongly labeled data can limit the potential of a Sound Event Detection (SED) system trained using deep learning approaches. To address this issue, this paper proposes a novel method to approximate strong labels for the weakly labeled data using Nonnegative Matrix Factorization (NMF) in...

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Bibliographic Details
Main Authors: Teck Kai Chan, Cheng Siong Chin, Ye Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
nonnegative matrix factorization
semi-supervised learning
sound event detection
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9541202/

Internet

https://ieeexplore.ieee.org/document/9541202/

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