Back to Search
Start Over
Foreground-Background Ambient Sound Scene Separation
- Source :
- EUSIPCO 2020-28th European Signal Processing Conference, EUSIPCO 2020-28th European Signal Processing Conference, Jan 2021, Amsterdam / Virtual, Netherlands. ⟨10.23919/Eusipco47968.2020.9287436⟩, EUSIPCO 2020-28th European Signal Processing Conference, Jan 2021, Amsterdam / Virtual, Netherlands, EUSIPCO
- Publication Year :
- 2020
-
Abstract
- International audience; Ambient sound scenes typically comprise multiple short events occurring on top of a somewhat stationary background. We consider the task of separating these events from the background, which we call foreground-background ambient sound scene separation. We propose a deep learning-based separation framework with a suitable feature normaliza-tion scheme and an optional auxiliary network capturing the background statistics, and we investigate its ability to handle the great variety of sound classes encountered in ambient sound scenes, which have often not been seen in training. To do so, we create single-channel foreground-background mixtures using isolated sounds from the DESED and Audioset datasets, and we conduct extensive experiments with mixtures of seen or unseen sound classes at various signal-to-noise ratios. Our experimental findings demonstrate the generalization ability of the proposed approach.
- Subjects :
- Normalization (statistics)
Signal Processing (eess.SP)
FOS: Computer and information sciences
Sound (cs.SD)
Computer Science - Machine Learning
Computer science
Generalization
Ambient noise level
02 engineering and technology
Computer Science - Sound
Machine Learning (cs.LG)
Signal-to-noise ratio
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Audio and Speech Processing (eess.AS)
0202 electrical engineering, electronic engineering, information engineering
ambient sound scenes
FOS: Electrical engineering, electronic engineering, information engineering
Foreground-background
Computer vision
generalization ability
Electrical Engineering and Systems Science - Signal Processing
Sound (geography)
Signal processing
geography
geography.geographical_feature_category
business.industry
Deep learning
deep learning
audio source separation
020206 networking & telecommunications
Feature (computer vision)
[INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]
020201 artificial intelligence & image processing
Artificial intelligence
business
Electrical Engineering and Systems Science - Audio and Speech Processing
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- EUSIPCO 2020-28th European Signal Processing Conference, EUSIPCO 2020-28th European Signal Processing Conference, Jan 2021, Amsterdam / Virtual, Netherlands. ⟨10.23919/Eusipco47968.2020.9287436⟩, EUSIPCO 2020-28th European Signal Processing Conference, Jan 2021, Amsterdam / Virtual, Netherlands, EUSIPCO
- Accession number :
- edsair.doi.dedup.....983935e6623da811ba9e937e331b90cf