research
∙
07/10/2023
VampNet: Music Generation via Masked Acoustic Token Modeling
We introduce VampNet, a masked acoustic token modeling approach to music...
share
research
∙
08/26/2022
Music Separation Enhancement with Generative Modeling
Despite phenomenal progress in recent years, state-of-the-art music sepa...
research
∙
04/11/2022
How to Listen? Rethinking Visual Sound Localization
Localizing visual sounds consists on locating the position of objects th...
research
∙
10/25/2021
Unsupervised Source Separation By Steering Pretrained Music Models
We showcase an unsupervised method that repurposes deep models trained f...
research
∙
11/02/2020
What's All the FUSS About Free Universal Sound Separation Data?
We introduce the Free Universal Sound Separation (FUSS) dataset, a new c...
research
∙
11/02/2020
Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes
We propose a benchmark of state-of-the-art sound event detection systems...
research
∙
10/23/2020
A Study of Transfer Learning in Music Source Separation
Supervised deep learning methods for performing audio source separation ...
research
∙
07/25/2020
AutoClip: Adaptive Gradient Clipping for Source Separation Networks
Clipping the gradient is a known approach to improving gradient descent,...
research
∙
07/12/2020
OtoWorld: Towards Learning to Separate by Learning to Move
We present OtoWorld, an interactive environment in which agents must lea...
research
∙
07/08/2020
Improving Sound Event Detection In Domestic Environments Using Sound Separation
Performing sound event detection on real-world recordings often implies ...
research
∙
06/23/2020
Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation
Deep learning has rapidly become the state-of-the-art approach for music...
research
∙
06/23/2020
Bach or Mock? A Grading Function for Chorales in the Style of J.S. Bach
Deep generative systems that learn probabilistic models from a corpus of...
research
∙
10/23/2019
Model selection for deep audio source separation via clustering analysis
Audio source separation is the process of separating a mixture (e.g. a p...
research
∙
10/23/2019
Bootstrapping deep music separation from primitive auditory grouping principles
Separating an audio scene such as a cocktail party into constituent, mea...
research
∙
10/22/2019
Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments
We present a single deep learning architecture that can both separate an...
research
∙
09/18/2019
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity
Music source separation performance has greatly improved in recent years...
research
∙
11/07/2018
Class-conditional embeddings for music source separation
Isolating individual instruments in a musical mixture has a myriad of po...
research
∙
11/06/2018