Projects per year
Abstract
Extraction of stationary and transient components from audio has many potential applications to audio effects for audio content pro- duction. In this paper we explore stationary/transient separation using convolutional autoencoders. We propose two novel unsuper- vised algorithms for individual and and joint separation. We de- scribe our implementation and show examples. Our results show promise for the use of convolutional autoencoders in the extraction of sparse components from audio spectrograms, particularly using monophonic sounds.
Original language | English |
---|---|
Title of host publication | Proceedings of the 21st International Conference on Digital Audio Effects (DAFx-18) |
Pages | 65-71 |
Number of pages | 7 |
Publication status | Published - 4 Sep 2018 |
Event | 21st International Conference on Digital Audio Effects - Universidade de Aveiro, Aveiro, Portugal Duration: 4 Sep 2018 → 8 Sep 2018 http://dafx2018.web.ua.pt/ (Link to Conference Website) |
Publication series
Name | |
---|---|
ISSN (Print) | 2413-6700 |
ISSN (Electronic) | 2413-6689 |
Conference
Conference | 21st International Conference on Digital Audio Effects |
---|---|
Abbreviated title | DAFx-18 |
Country | Portugal |
City | Aveiro |
Period | 4/09/18 → 8/09/18 |
Internet address |
|
Fingerprint Dive into the research topics of 'Stationary/transient audio separation using convolutional autoencoders'. Together they form a unique fingerprint.
Projects
- 1 Active
-
FluCoMa: Fluid Corpus Manipulations
Tremblay, P. A., Green, O., Roma, G., Harker, A., Clarke, M. & Dufeu, F.
1/09/17 → 31/08/22
Project: Research