Scaling strategies for on-device low-complexity source separation with
Conv-Tasnet

Scaling strategies for on-device low-complexity source separation with Conv-Tasnet

6 March 2023

Mohamed Nabih Ali

Francesco Paissan

Daniele Falavigna

Papers citing "Scaling strategies for on-device low-complexity source separation with Conv-Tasnet"

5 / 5 papers shown

Title
An objective evaluation of Hearing Aids and DNN-based speech enhancement in complex acoustic scenes Enric Gusó Joanna Luberadzka Martí Baig Umut Sayin Saraç Xavier Serra 15 2 0 24 Jul 2023
PhiNets: a scalable backbone for low-power AI at the edge Francesco Paissan Alberto Ancilotto Elisabetta Farella 26 32 0 01 Oct 2021
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 104 588 0 08 Jun 2018
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
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,368 0 07 Oct 2016