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

by   Guillaume Alain, et al.

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. The principal goal of this tool is to enable an efficient exploration of new musical ideas. 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 structured. We aim to build a system that can converge to meaningful results even with a limited number of interactions with the user. This property enables our method to be used from a cold start situation (no pre-existing dataset), or starting from a collection of audio samples provided by the user. In a proof of concept study with 25 participants, we empirically demonstrate that DeepDrummer is able to converge towards the preference of our subjects after a small number of interactions.



There are no comments yet.


page 1

page 2

page 3

page 4


Cluster-Based Active Learning

In this work, we introduce Cluster-Based Active Learning, a novel framew...

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

This paper proposes a new benchmark task for generat-ing musical passage...

Learning the Designer's Preferences to Drive Evolution

This paper presents the Designer Preference Model, a data-driven solutio...

DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing

We propose in this article to build up a collaboration between a deep ne...

Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls

Machine learning has been applied to a broad range of applications and s...

Batch Active Preference-Based Learning of Reward Functions

Data generation and labeling are usually an expensive part of learning f...

Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models

The interpretation of deep neural networks (DNNs) has become a key topic...

Code Repositories


Making the world a better place through AI-generated beats & grooves

view repo
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.