Adaptive Noise Reduction for Sound Event Detection Using Subband-Weighted NMF
Sound event detection in real-world environments suffers from the interference of non-stationary and time-varying noise. This paper presents an adaptive noise reduction method for sound event detection based on non-negative matrix factorization (NMF). First, a scheme for noise dictionary learning fr...
Main Authors: | Qing Zhou, Zuren Feng, Emmanouil Benetos |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/14/3206 |
Similar Items
-
Enhanced NMF Separation of Mixed Signals in Strong Noise Environment
by: Liuyang Gao, et al.
Published: (2019-01-01) -
Speech Enhancement Based on NMF Under Electric Vehicle Noise Condition
by: Minghe Wang, et al.
Published: (2018-01-01) -
Semi-Supervised NMF-CNN for Sound Event Detection
by: Teck Kai Chan, et al.
Published: (2021-01-01) -
Data-Dependent Feature Extraction Method Based on Non-Negative Matrix Factorization for Weakly Supervised Domestic Sound Event Detection
by: Seokjin Lee, et al.
Published: (2021-01-01) -
Road, tram and aircraft traffic noise annoyance related to the number of noise events and the equivalent sound level
by: Jan Felcyn, et al.
Published: (2022-12-01)