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AclNet: efficient end-to-end audio classification CNN

AclNet: efficient end-to-end audio classification CNN

16 November 2018
Jonathan Huang
Juan Jose Alvarado Leanos
ArXivPDFHTML

Papers citing "AclNet: efficient end-to-end audio classification CNN"

5 / 5 papers shown
Title
CAT: Causal Audio Transformer for Audio Classification
CAT: Causal Audio Transformer for Audio Classification
Xiaoyu Liu
Hanlin Lu
Jianbo Yuan
Xinyu Li
ViT
30
22
0
14 Mar 2023
Learnable Wavelet Packet Transform for Data-Adapted Spectrograms
Learnable Wavelet Packet Transform for Data-Adapted Spectrograms
Gaetan Frusque
Olga Fink
11
13
0
26 Jan 2022
Environmental Sound Classification on the Edge: A Pipeline for Deep
  Acoustic Networks on Extremely Resource-Constrained Devices
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices
Md Mohaimenuzzaman
Christoph Bergmeir
I. West
B. Meyer
22
41
0
05 Mar 2021
An Ensemble of Convolutional Neural Networks for Audio Classification
An Ensemble of Convolutional Neural Networks for Audio Classification
L. Nanni
Gianluca Maguolo
S. Brahnam
M. Paci
24
86
0
15 Jul 2020
Leveraging Topics and Audio Features with Multimodal Attention for Audio
  Visual Scene-Aware Dialog
Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog
Shachi H. Kumar
Eda Okur
Saurav Sahay
Jonathan Huang
L. Nachman
16
7
0
20 Dec 2019
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