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Sound Event Localization and Detection Using Activity-Coupled Cartesian
  DOA Vector and RD3net

Sound Event Localization and Detection Using Activity-Coupled Cartesian DOA Vector and RD3net

22 June 2020
Kazuki Shimada
Naoya Takahashi
Shusuke Takahashi
Yuki Mitsufuji
ArXivPDFHTML

Papers citing "Sound Event Localization and Detection Using Activity-Coupled Cartesian DOA Vector and RD3net"

11 / 11 papers shown
Title
CNN-based Robust Sound Source Localization with SRP-PHAT for the Extreme Edge
Jun Yin
Marian Verhelst
100
1
0
03 Mar 2025
D3Net: Densely connected multidilated DenseNet for music source
  separation
D3Net: Densely connected multidilated DenseNet for music source separation
Naoya Takahashi
Yuki Mitsufuji
MedIm
75
69
0
05 Oct 2020
A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for
  Sound Event Localization and Detection
A Dataset of Reverberant Spatial Sound Scenes with Moving Sources for Sound Event Localization and Detection
Archontis Politis
Sharath Adavanne
Tuomas Virtanen
37
109
0
02 Jun 2020
First Order Ambisonics Domain Spatial Augmentation for DNN-based
  Direction of Arrival Estimation
First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation
Luca Mazzon
Yuma Koizumi
Masahiro Yasuda
Noboru Harada
26
44
0
10 Oct 2019
Network Deconvolution
Network Deconvolution
Chengxi Ye
Matthew Evanusa
Hua He
A. Mitrokhin
Tom Goldstein
J. Yorke
Cornelia Fermuller
Yiannis Aloimonos
28
35
0
28 May 2019
Polyphonic Sound Event Detection and Localization using a Two-Stage
  Strategy
Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy
Yin Cao
Qiuqiang Kong
Turab Iqbal
Fengyan An
Wenwu Wang
Mark D. Plumbley
17
118
0
01 May 2019
SpecAugment: A Simple Data Augmentation Method for Automatic Speech
  Recognition
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Daniel S. Park
William Chan
Yu Zhang
Chung-Cheng Chiu
Barret Zoph
E. D. Cubuk
Quoc V. Le
VLM
138
3,435
0
18 Apr 2019
MMDenseLSTM: An efficient combination of convolutional and recurrent
  neural networks for audio source separation
MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation
Naoya Takahashi
Nabarun Goswami
Yuki Mitsufuji
55
143
0
07 May 2018
AENet: Learning Deep Audio Features for Video Analysis
AENet: Learning Deep Audio Features for Video Analysis
Naoya Takahashi
Michael Gygli
Luc Van Gool
45
149
0
03 Jan 2017
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
229
7,361
0
12 Sep 2016
Deep Convolutional Neural Networks and Data Augmentation for Acoustic
  Event Detection
Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection
Naoya Takahashi
Michael Gygli
Beat Pfister
Luc Van Gool
24
128
0
25 Apr 2016
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