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02/27/2023
Continuous descriptor-based control for deep audio synthesis
Despite significant advances in deep models for music generation, the us...
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01/30/2023
SingSong: Generating musical accompaniments from singing
We present SingSong, a system that generates instrumental music to accom...
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11/16/2022
Creative divergent synthesis with generative models
Machine learning approaches now achieve impressive generation capabiliti...
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11/16/2022
Challenges in creative generative models for music: a divergence maximization perspective
The development of generative Machine Learning (ML) models in creative p...
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04/14/2022
Streamable Neural Audio Synthesis With Non-Causal Convolutions
Deep learning models are mostly used in an offline inference fashion. Ho...
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03/06/2022
HEAR 2021: Holistic Evaluation of Audio Representations
What audio embedding approach generalizes best to a wide range of downst...
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11/09/2021
RAVE: A variational autoencoder for fast and high-quality neural audio synthesis
Deep generative models applied to audio have improved by a large margin ...
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09/08/2021
Signal-domain representation of symbolic music for learning embedding spaces
A key aspect of machine learning models lies in their ability to learn e...
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07/06/2021
A Multi-Objective Approach for Sustainable Generative Audio Models
In recent years, the deep learning community has largely focused on the ...
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04/15/2021
Spectrogram Inpainting for Interactive Generation of Instrument Sounds
Modern approaches to sound synthesis using deep neural networks are hard...
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08/13/2020
Creativity in the era of artificial intelligence
Creativity is a deeply debated topic, as this concept is arguably quinte...
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08/04/2020
Neural Granular Sound Synthesis
Granular sound synthesis is a popular audio generation technique based o...
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08/04/2020
Timbre latent space: exploration and creative aspects
Recent studies show the ability of unsupervised models to learn invertib...
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07/31/2020
Ultra-light deep MIR by trimming lottery tickets
Current state-of-the-art results in Music Information Retrieval are larg...
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07/31/2020
Diet deep generative audio models with structured lottery
Deep learning models have provided extremely successful solutions in mos...
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07/13/2020
Vector-Quantized Timbre Representation
Timbre is a set of perceptual attributes that identifies different types...
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02/10/2020
Cross-modal variational inference for bijective signal-symbol translation
Extraction of symbolic information from signals is an active field of re...
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11/12/2019
Using musical relationships between chord labels in automatic chord extraction tasks
Recent researches on Automatic Chord Extraction (ACE) have focused on th...
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11/12/2019
Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network
This paper studies the prediction of chord progressions for jazz music b...
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07/04/2019
Neural Drum Machine : An Interactive System for Real-time Synthesis of Drum Sounds
In this work, we introduce a system for real-time generation of drum sou...
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07/01/2019
Universal audio synthesizer control with normalizing flows
The ubiquity of sound synthesizers has reshaped music production and eve...
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04/12/2019
Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders
Generative models have thrived in computer vision, enabling unprecedente...
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10/19/2018
A database linking piano and orchestral MIDI scores with application to automatic projective orchestration
This article introduces the Projective Orchestral Database (POD), a coll...
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09/29/2018
Modulated Variational auto-Encoders for many-to-many musical timbre transfer
Generative models have been successfully applied to image style transfer...
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05/22/2018
Generative timbre spaces: regularizing variational auto-encoders with perceptual metrics
Timbre spaces have been used in music perception to study the perceptual...
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05/22/2018
