Training neural audio classifiers with few data

Training neural audio classifiers with few data

24 October 2018

Xavier Serra

Papers citing "Training neural audio classifiers with few data"

11 / 11 papers shown

Title
Learning Music Audio Representations With Limited Data Christos Plachouras Emmanouil Benetos Johan Pauwels 26 0 0 09 May 2025
Learning to detect an animal sound from five examples I. Nolasco Shubhr Singh V. Morfi Vincent Lostanlen A. Strandburg-Peshkin ... Michael G. Emmerson E. Versace E. Grout Haohe Liu D. Stowell 43 37 0 22 May 2023
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection Chendong Zhao Jianzong Wang LeiLai Li Xiaoyang Qu Jing Xiao 52 10 0 24 May 2022
Computational bioacoustics with deep learning: a review and roadmap D. Stowell 32 235 0 13 Dec 2021
Who calls the shots? Rethinking Few-Shot Learning for Audio Yu Wang Nicholas J. Bryan Justin Salamon M. Cartwright J. P. Bello VLM 19 25 0 18 Oct 2021
A Mutual learning framework for Few-shot Sound Event Detection Dongchao Yang Helin Wang Yuexian Zou Zhongjie Ye Wenwu Wang 34 25 0 09 Oct 2021
Few-Shot Drum Transcription in Polyphonic Music Yu Wang Justin Salamon M. Cartwright Nicholas J. Bryan J. P. Bello 19 20 0 06 Aug 2020
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder Kazi Nazmul Haque R. Rana Björn W Schuller DRL 26 12 0 01 Jun 2020
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments Javier Naranjo-Alcazar Sergi Perez-Castanos P. Zuccarello Ana M. Torres Jose J. Lopez Franscesc J. Ferri M. Cobos 21 15 0 26 Feb 2020
Limitations of weak labels for embedding and tagging Nicolas Turpault Romain Serizel Emmanuel Vincent 16 9 0 05 Feb 2020
Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events Kazuki Shimada Yuichiro Koyama A. Inoue 10 23 0 30 Oct 2019