End-to-end learning for music audio tagging at scale

End-to-end learning for music audio tagging at scale

7 November 2017

Matthew Prockup

Erik M. Schmidt

Andreas F. Ehmann

Xavier Serra

Papers citing "End-to-end learning for music audio tagging at scale"

11 / 11 papers shown

Title
MERGE -- A Bimodal Dataset for Static Music Emotion Recognition Pedro Lima Louro Hugo Redinho Ricardo Santos Ricardo Malheiro R. Panda Rui Pedro Paiva MoMe 175 3 0 13 Mar 2025
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 243 1,889 0 28 Dec 2017
Toward Faultless Content-Based Playlists Generation for Instrumentals Yann Bayle Matthias Robine P. Hanna 16 1 0 23 Jun 2017
Timbre Analysis of Music Audio Signals with Convolutional Neural Networks Jordi Pons Olga Slizovskaia Rong Gong E. Gómez Xavier Serra 46 113 0 20 Mar 2017
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging Jongpil Lee Juhan Nam 55 137 0 06 Mar 2017
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms Jongpil Lee Jiyoung Park Keunhyoung Luke Kim Juhan Nam 72 189 0 06 Mar 2017
FMA: A Dataset For Music Analysis M. Defferrard Kirell Benzi P. Vandergheynst Xavier Bresson 106 440 0 06 Dec 2016
Convolutional Recurrent Neural Networks for Music Classification Keunwoo Choi Gyorgy Fazekas Mark Sandler Kyunghyun Cho 396 476 0 14 Sep 2016
Automatic tagging using deep convolutional neural networks Keunwoo Choi Gyorgy Fazekas Mark Sandler 148 329 0 01 Jun 2016
Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks Huy P Phan L. Hertel M. Maass Alfred Mertins 42 119 0 21 Apr 2016
Learning Multiscale Features Directly From Waveforms Zhenyao Zhu Jesse Engel Awni Y. Hannun 62 65 0 31 Mar 2016