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Simple Pooling Front-ends For Efficient Audio Classification

Simple Pooling Front-ends For Efficient Audio Classification

3 October 2022
Xubo Liu
Haohe Liu
Qiuqiang Kong
Xinhao Mei
Mark D. Plumbley
Wenwu Wang
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Papers citing "Simple Pooling Front-ends For Efficient Audio Classification"

5 / 5 papers shown
Title
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised
  Pretraining
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining
Haohe Liu
Yiitan Yuan
Xubo Liu
Xinhao Mei
Qiuqiang Kong
Qiao Tian
Yuping Wang
Wenwu Wang
Yuxuan Wang
Mark D. Plumbley
DiffM
25
222
0
10 Aug 2023
Learning Temporal Resolution in Spectrogram for Audio Classification
Learning Temporal Resolution in Spectrogram for Audio Classification
Haohe Liu
Xubo Liu
Qiuqiang Kong
Wenwu Wang
Mark D. Plumbley
34
7
0
04 Oct 2022
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and
  Aggregation
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation
Yuan Gong
Yu-An Chung
James R. Glass
VLM
104
144
0
02 Feb 2021
LEAF: A Learnable Frontend for Audio Classification
LEAF: A Learnable Frontend for Audio Classification
Neil Zeghidour
O. Teboul
Félix de Chaumont Quitry
Marco Tagliasacchi
VLM
AAML
82
144
0
21 Jan 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
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