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

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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

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

16 / 16 papers shown

Title
Efficient Supervised Training of Audio Transformers for Music Representation Learning Pablo Alonso-Jiménez Xavier Serra Dmitry Bogdanov ViT 63 4 0 28 Sep 2023
Towards Contrastive Learning in Music Video Domain Karel Veldkamp Mariya Hendriksen Zoltán Szlávik Alexander Keijser SSL 51 2 0 01 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 82 6 0 24 Apr 2023
Improving Content Retrievability in Search with Controllable Query Generation Gustavo Penha Enrico Palumbo Maryam Aziz Alice Wang Hugues Bouchard 78 11 0 21 Mar 2023
Supervised and Unsupervised Learning of Audio Representations for Music Understanding Matthew C. McCallum Filip Korzeniowski Sergio Oramas F. Gouyon Andreas F. Ehmann SSL 135 40 0 07 Oct 2022
Towards Proper Contrastive Self-supervised Learning Strategies For Music Audio Representation Jeong-Eun Choi Seongwon Jang Hyunsouk Cho Sehee Chung SSL 48 6 0 10 Jul 2022
Codified audio language modeling learns useful representations for music information retrieval Rodrigo Castellon Chris Donahue Percy Liang 146 91 0 12 Jul 2021
BERT-like Pre-training for Symbolic Piano Music Classification Tasks Yi-Hui Chou I-Chun Chen Chin-Jui Chang Joann Ching Yi-Hsuan Yang 87 25 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 411 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 96 82 0 02 Jan 2020
Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music Hyemin Ahn Jaehun Kim Kihyun Kim Songhwai Oh GAN 81 44 0 11 Nov 2019
Multitask Learning for Polyphonic Piano Transcription, a Case Study Rainer Kelz Sebastian Böck Gerhard Widmer 149 9 0 12 Feb 2019
Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks Alexander Schindler Martin Boyer Andrew Lindley D. Schreiber Thomas Philipp 54 8 0 28 Nov 2018
Transfer Learning of Artist Group Factors to Musical Genre Classification Jaehun Kim Minz Won Xavier Serra Cynthia C. S. Liem 58 17 0 05 May 2018
Randomly weighted CNNs for (music) audio classification Jordi Pons Xavier Serra 79 86 0 01 May 2018
Learning Functional Causal Models with Generative Neural Networks Hugo Jair Escalante Sergio Escalera Xavier Baro Isabelle M Guyon Umut Güçlü Marcel van Gerven CML BDL 105 108 0 15 Sep 2017