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DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop [article]

Guillaume Alain, Maxime Chevalier-Boisvert, Frederic Osterrath, Remi Piche-Taillefer
2020 arXiv   pre-print
DeepDrummer is a drum loop generation tool that uses active learning to learn the preferences (or current artistic intentions) of a human user from a small number of interactions.  ...  We train a deep neural network classifier on audio data and show how it can be used as the core component of a system that generates drum loops based on few prior beliefs as to how these loops should be  ...  SUPPLEMENTAL MATERIALS DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop The supplemental materials are available through a shared Google Drive link 3 .  ... 
arXiv:2008.04391v2 fatcat:c5iipniusbd2jgkrnm5bxhsi5e

DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop

Guillaume Alain, Maxime Chevalier-Boisvert, Frederic Osterrath, Remi Piche-Taillefer
2020 Zenodo  
DeepDrummer is a drum loop generation tool that uses active learning to learn the preferences (or current artistic intentions) of a human user from a small number of interactions.  ...  We train a deep neural network classifier on audio data and show how it can be used as the core component of a system that generates drum loops.  ...  We thank Anna Huang for her encouragements and guidance in framing our work as a plausible research project for publication.  ... 
doi:10.5281/zenodo.4285361 fatcat:zoeismp5jfdddpp7iicnjjdoyu

A Benchmarking Initiative for Audio-domain Music Generation using the FreeSound Loop Dataset

Tun Min Hung, Bo-Yu Chen, Yen Tung Yeh, Yi-Hsuan Yang
2021 Zenodo  
This paper proposes a new benchmark task for generating musical passages in the audio domain by using the drum loops from the FreeSound Loop Dataset, which are publicly re-distributable.  ...  Moreover, we use a larger collection of drum loops from Looperman to establish four model-based objective metrics for evaluation, releasing these metrics as a library for quantifying and facilitating the  ...  This research work is supported by the Ministry of Science and Technology (MOST), Taiwan, under grant number 109-2628-E-001-002-MY2.  ... 
doi:10.5281/zenodo.5624409 fatcat:n7e5sdc4qzdclhsroa3ivmp7vi

A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset [article]

Tun-Min Hung, Bo-Yu Chen, Yen-Tung Yeh, Yi-Hsuan Yang
2022 arXiv   pre-print
This paper proposes a new benchmark task for generat-ing musical passages in the audio domain by using thedrum loops from the FreeSound Loop Dataset, which arepublicly re-distributable.  ...  Moreover, we use a larger col-lection of drum loops from Looperman to establish fourmodel-based objective metrics for evaluation, releasingthese metrics as a library for quantifying and facilitatingthe  ...  ACKNOWLEDGEMENTS This research work is supported by the Ministry of Science and Technology (MOST), Taiwan, under grant number 109-2628-E-001-002-MY2.  ... 
arXiv:2108.01576v2 fatcat:dvpkt5q3zfdndpihpornqh2jeu

A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions [article]

Shulei Ji, Jing Luo, Xinyu Yang
2020 arXiv   pre-print
The utilization of deep learning techniques in generating various contents (such as image, text, etc.) has become a trend.  ...  This paper attempts to provide an overview of various composition tasks under different music generation levels, covering most of the currently popular music generation tasks using deep learning.  ...  [293] proposed a drum loop generation tool named DeepDrummer based on deep learning model to learn human users' preferences from a small number of interactions using active learning.  ... 
arXiv:2011.06801v1 fatcat:cixou3d2jzertlcpb7kb5x5ery