Sorry, you need to enable JavaScript to visit this website.

facebooktwittermailshare

Recurrent neural networks for polyphonic sound event detection in real life recordings

RECURRENT NEURAL NETWORKS FOR POLYPHONIC SOUND EVENT DETECTION IN REAL LIFE RECORDINGS
Abstract: 

Slides from the presentation held at ICASSP 2016 for the paper: Recurrent neural networks for polyphonic sound event detection in real life recordings

up
0 users have voted:

Paper Details

Authors:
Heikki Huttunen, Tuomas Virtanen
Submitted On:
4 April 2016 - 9:45am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Giambattista Parascandolo
Paper Code:
1898
Document Year:
2016
Cite

Document Files

ICASSP_2016_slides.pdf

(262 downloads)

Subscribe

[1] Heikki Huttunen, Tuomas Virtanen, "Recurrent neural networks for polyphonic sound event detection in real life recordings", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1082. Accessed: Oct. 23, 2017.
@article{1082-16,
url = {http://sigport.org/1082},
author = {Heikki Huttunen; Tuomas Virtanen },
publisher = {IEEE SigPort},
title = {Recurrent neural networks for polyphonic sound event detection in real life recordings},
year = {2016} }
TY - EJOUR
T1 - Recurrent neural networks for polyphonic sound event detection in real life recordings
AU - Heikki Huttunen; Tuomas Virtanen
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1082
ER -
Heikki Huttunen, Tuomas Virtanen. (2016). Recurrent neural networks for polyphonic sound event detection in real life recordings. IEEE SigPort. http://sigport.org/1082
Heikki Huttunen, Tuomas Virtanen, 2016. Recurrent neural networks for polyphonic sound event detection in real life recordings. Available at: http://sigport.org/1082.
Heikki Huttunen, Tuomas Virtanen. (2016). "Recurrent neural networks for polyphonic sound event detection in real life recordings." Web.
1. Heikki Huttunen, Tuomas Virtanen. Recurrent neural networks for polyphonic sound event detection in real life recordings [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1082