One Deep Music Representation to Rule Them All? : A comparative analysis
of different representation learning strategies

One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies

12 February 2018

Cynthia C. S. Liem

Alan Hanjalic

Papers citing "One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies"

9 / 9 papers shown

Title
Efficient Supervised Training of Audio Transformers for Music Representation Learning Pablo Alonso-Jiménez Xavier Serra Dmitry Bogdanov ViT 35 3 0 28 Sep 2023
Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity Pablo Alonso-Jiménez Xavier Favory Hadrien Foroughmand Grigoris Bourdalas Xavier Serra T. Lidy Dmitry Bogdanov 37 6 0 24 Apr 2023
Improving Content Retrievability in Search with Controllable Query Generation Gustavo Penha Enrico Palumbo Maryam Aziz Alice Wang Hugues Bouchard 37 11 0 21 Mar 2023
Towards Proper Contrastive Self-supervised Learning Strategies For Music Audio Representation Jeong-Eun Choi Seongwon Jang Hyunsouk Cho Sehee Chung SSL 16 6 0 10 Jul 2022
Codified audio language modeling learns useful representations for music information retrieval Rodrigo Castellon Chris Donahue Percy Liang 78 86 0 12 Jul 2021
Multi-Task Self-Supervised Pre-Training for Music Classification Ho-Hsiang Wu Chieh-Chi Kao Qingming Tang Ming Sun Brian McFee J. P. Bello Chao Wang SSL 36 37 0 05 Feb 2021
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 29 81 0 02 Jan 2020
Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music Hyemin Ahn Jaehun Kim Kihyun Kim Songhwai Oh GAN 15 42 0 11 Nov 2019
Transfer Learning of Artist Group Factors to Musical Genre Classification Jaehun Kim Minz Won Xavier Serra Cynthia C. S. Liem 17 17 0 05 May 2018