Dynamic Musical Orchestration Using Genetic Algorithms and a Spectro-Temporal Description of Musical Instruments. - Philippe Esling; Grégoire Carpentier; Carlos Agón (EvoApplications (2), 2010)

Composition Of Sound Mixtures With Spectral Maquettes. - Philippe Esling; Carlos Agón (ICMC, 2010)

Time-series data mining. - Philippe Esling; Carlos Agón (ACM Comput. Surv., 2012)

Multiobjective Time Series Matching for Audio Classification and Retrieval. - Philippe Esling; Carlos Agón (IEEE Trans. Speech Audio Process., 2013)

Live Orchestral Piano, a system for real-time orchestral music generation. - Léopold Crestel; Philippe Esling (CoRR, 2016)

Interactive computer-aided composition with constraints. - Pierre Talbot; Carlos Agón; Philippe Esling (ICMC, 2017)

A Database Linking Piano and Orchestral MIDI Scores with Application to Automatic Projective Orchestration. - Léopold Crestel; Philippe Esling; Lena Heng; Stephen McAdams (ISMIR, 2017)

Using Musical Relationships Between Chord Labels in Automatic Chord Extraction Tasks. - Tristan Carsault; Jérôme Nika; Philippe Esling (ISMIR, 2018)

Bridging Audio Analysis, Perception and Synthesis with Perceptually-regularized Variational Timbre Spaces. - Philippe Esling; Axel Chemla-Romeu-Santos; Adrien Bitton (ISMIR, 2018)

Generative timbre spaces with variational audio synthesis. - Philippe Esling; Axel Chemla-Romeu-Santos; Adrien Bitton (CoRR, 2018)

Modulated Variational auto-Encoders for many-to-many musical timbre transfer. - Adrien Bitton; Philippe Esling; Axel Chemla-Romeu-Santos (CoRR, 2018)

Neural Drum Machine : An Interactive System for Real-time Synthesis of Drum Sounds. - Cyran Aouameur; Philippe Esling; Gaëtan Hadjeres (ICCC, 2019)

Folded CQT RCNN For Real-time Recognition of Instrument Playing Techniques. - Jean-François Ducher; Philippe Esling (ISMIR, 2019)

Multi-Step Chord Sequence Prediction Based On Aggregated Multi-Scale Encoder-Decoder Networks. - Tristan Carsault; Andrew McLeod; Philippe Esling; Jérôme Nika; Eita Nakamura; Kazuyoshi Yoshii (MLSP, 2019)

Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders. - Adrien Bitton; Philippe Esling; Antoine Caillon; Martin Fouilleul (CoRR, 2019)

Universal audio synthesizer control with normalizing flows. - Philippe Esling; Naotake Masuda; Adrien Bardet; Romeo Despres; Axel Chemla-Romeu-Santos (CoRR, 2019)

Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network. - Tristan Carsault; Andrew McLeod; Philippe Esling; Jérôme Nika; Eita Nakamura; Kazuyoshi Yoshii (CoRR, 2019)

FlowSynth: Simplifying Complex Audio Generation Through Explorable Latent Spaces with Normalizing Flows. - Philippe Esling; Naotake Masuda; Axel Chemla-Romeu-Santos (IJCAI, 2020)

Ultra-light deep MIR by trimming lottery tickets. - Philippe Esling; Théis Bazin; Adrien Bitton; Tristan Carsault; Ninon Devis (ISMIR, 2020)

Attributes-Aware Deep Music Transformation. - Lisa Kawai; Philippe Esling; Tatsuya Harada (ISMIR, 2020)

Cross-modal variational inference for bijective signal-symbol translation. - Axel Chemla-Romeu-Santos; Stavros Ntalampiras; Philippe Esling; Goffredo Haus; Gérard Assayag (CoRR, 2020)

Vector-Quantized Timbre Representation. - Adrien Bitton; Philippe Esling; Tatsuya Harada (CoRR, 2020)

Diet deep generative audio models with structured lottery. - Philippe Esling; Ninon Devis; Adrien Bitton; Antoine Caillon; Axel Chemla-Romeu-Santos; Constance Douwes (CoRR, 2020)

Timbre latent space: exploration and creative aspects. - Antoine Caillon; Adrien Bitton; Brice Gatinet; Philippe Esling (CoRR, 2020)

Neural Granular Sound Synthesis. - Adrien Bitton; Philippe Esling; Tatsuya Harada (CoRR, 2020)

Creativity in the era of artificial intelligence. - Philippe Esling; Ninon Devis (CoRR, 2020)

HEAR: Holistic Evaluation of Audio Representations. - Joseph Turian; Jordie Shier; Humair Raj Khan; Bhiksha Raj; Björn W. Schuller; Christian J. Steinmetz; Colin Malloy; George Tzanetakis; Gissel Velarde; Kirk McNally; Max Henry; Nicolas Pinto; et al. (NeurIPS (Competition and Demos), 2021)

Spectrogram Inpainting for Interactive Generation of Instrument Sounds. - Théis Bazin; Gaëtan Hadjeres; Philippe Esling; Mikhail Malt (CoRR, 2021)

A Multi-Objective Approach for Sustainable Generative Audio Models. - Constance Douwes; Philippe Esling; Jean-Pierre Briot (CoRR, 2021)

Signal-domain representation of symbolic music for learning embedding spaces. - Mathieu Prang; Philippe Esling (CoRR, 2021)

RAVE: A variational autoencoder for fast and high-quality neural audio synthesis. - Antoine Caillon; Philippe Esling (CoRR, 2021)

Dynamic Computer-Aided Orchestration in Practice with Orchidea. - Carmine-Emanuele Cella; Daniele Ghisi; Yan Maresz; Alessandro Petrolati; Alexandre Teiller; Philippe Esling (Comput. Music. J., 2021)

HEAR 2021: Holistic Evaluation of Audio Representations. - Joseph Turian; Jordie Shier; Humair Raj Khan; Bhiksha Raj; Björn W. Schuller; Christian J. Steinmetz; Colin Malloy; George Tzanetakis; Gissel Velarde; Kirk McNally; Max Henry; Nicolas Pinto; et al. (CoRR, 2022)

Streamable Neural Audio Synthesis With Non-Causal Convolutions. - Antoine Caillon; Philippe Esling (CoRR, 2022)

Challenges in creative generative models for music: a divergence maximization perspective. - Axel Chemla-Romeu-Santos; Philippe Esling (CoRR, 2022)

Creative divergent synthesis with generative models. - Axel Chemla-Romeu-Santos; Philippe Esling (CoRR, 2022)

Continuous Descriptor-Based Control for Deep Audio Synthesis. - Ninon Devis; Nils Demerlé; Sarah Nabi; David Genova; Philippe Esling (ICASSP, 2023)

Is Quality Enoughƒ Integrating Energy Consumption in a Large-Scale Evaluation of Neural Audio Synthesis Models. - Constance Douwes; Giovanni Bindi; Antoine Caillon; Philippe Esling; Jean-Pierre Briot (ICASSP, 2023)

SingSong: Generating musical accompaniments from singing. - Chris Donahue; Antoine Caillon; Adam Roberts; Ethan Manilow; Philippe Esling; Andrea Agostinelli; Mauro Verzetti; Ian Simon; Olivier Pietquin; Neil Zeghidour; Jesse H. Engel (CoRR, 2023)

Unsupervised Composable Representations for Audio. - Giovanni Bindi; Philippe Esling (ISMIR, 2024)

Combining Audio Control and Style Transfer Using Latent Diffusion. - Nils Demerlé; Philippe Esling; Guillaume Doras; David Genova (ISMIR, 2024)

Embodied exploration of deep latent spaces in interactive dance-music performance. - Sarah Nabi; Philippe Esling; Geoffroy Peeters; Frédéric Bevilacqua (MOCO, 2024)

Keep what you need : extracting efficient subnetworks from large audio representation models. - David Genova; Philippe Esling; Tom Hurlin (ICASSP, 2025)