What is Learnt by the LEArnable Front-end (LEAF)? Adapting Per-Channel Energy Normalisation (PCEN) to Noisy Conditions

10 April 2024

Papers citing "What is Learnt by the LEArnable Front-end (LEAF)? Adapting Per-Channel Energy Normalisation (PCEN) to Noisy Conditions"

9 / 9 papers shown

Title
autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks Simon Rampp Andreas Triantafyllopoulos M. Milling Björn Schuller 184 0 0 16 Dec 2024
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use Jan Schluter Gerald Gutenbrunner VLM 44 12 0 12 Jul 2022
Sound Event Detection in Urban Audio With Single and Multi-Rate PCEN Christopher Ick Brian McFee 13 17 0 06 Feb 2021
Real-time Denoising and Dereverberation with Tiny Recurrent U-Net Hyeong-Seok Choi Sungjin Park Jie Hwan Lee Hoon Heo Dongsuk Jeon Kyogu Lee 55 57 0 05 Feb 2021
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 121 17,950 0 28 May 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 82 794 0 25 Apr 2019
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Yi Luo N. Mesgarani 124 1,772 0 20 Sep 2018
Speaker Recognition from Raw Waveform with SincNet Mirco Ravanelli Yoshua Bengio 97 706 0 29 Jul 2018
Trainable Frontend For Robust and Far-Field Keyword Spotting Yuxuan Wang Pascal Getreuer Thad Hughes R. Lyon Rif A. Saurous 72 142 0 19 Jul 2016