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07/10/2023
VampNet: Music Generation via Masked Acoustic Token Modeling
We introduce VampNet, a masked acoustic token modeling approach to music...
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01/28/2023
Cross-domain Neural Pitch and Periodicity Estimation
Pitch is a foundational aspect of our perception of audio signals. Pitch...
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08/26/2022
Music Separation Enhancement with Generative Modeling
Despite phenomenal progress in recent years, state-of-the-art music sepa...
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03/28/2022
Improving Source Separation by Explicitly Modeling Dependencies Between Sources
We propose a new method for training a supervised source separation syst...
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03/08/2022
Reproducible Subjective Evaluation
Human perceptual studies are the gold standard for the evaluation of man...
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10/25/2021
Deep Learning Tools for Audacity: Helping Researchers Expand the Artist's Toolkit
We present a software framework that integrates neural networks into the...
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10/25/2021
Unsupervised Source Separation By Steering Pretrained Music Models
We showcase an unsupervised method that repurposes deep models trained f...
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10/05/2021
Neural Pitch-Shifting and Time-Stretching with Controllable LPCNet
Modifying the pitch and timing of an audio signal are fundamental audio ...
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07/14/2021
Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition
Deep learning work on musical instrument recognition has generally focus...
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02/16/2021
Context-Aware Prosody Correction for Text-Based Speech Editing
Text-based speech editors expedite the process of editing speech recordi...
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10/23/2020
A Study of Transfer Learning in Music Source Separation
Supervised deep learning methods for performing audio source separation ...
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09/29/2020
Bespoke Neural Networks for Score-Informed Source Separation
In this paper, we introduce a simple method that can separate arbitrary ...
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07/25/2020
AutoClip: Adaptive Gradient Clipping for Source Separation Networks
Clipping the gradient is a known approach to improving gradient descent,...
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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...
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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...
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11/05/2019
OtoMechanic: Auditory Automobile Diagnostics via Query-by-Example
Early detection and repair of failing components in automobiles reduces ...
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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...
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10/23/2019
Bootstrapping deep music separation from primitive auditory grouping principles
Separating an audio scene such as a cocktail party into constituent, mea...
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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...
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11/06/2018
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures
Separating an audio scene into isolated sources is a fundamental problem...
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04/23/2018