Low-Complexity Audio Embedding Extractors

3 March 2023

Papers citing "Low-Complexity Audio Embedding Extractors"

5 / 5 papers shown

Title
Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models Florian Schmid Khaled Koutini Gerhard Widmer 16 11 0 24 Oct 2023
BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping Gasser Elbanna Neil Scheidwasser M. Kegler P. Beckmann Karl El Hajal Milos Cernak SSL 31 21 0 24 Jun 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation Yuan Gong Yu-An Chung James R. Glass VLM 99 144 0 02 Feb 2021
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 20,561 0 17 Apr 2017