Music2Latent: Consistency Autoencoders for Latent Audio Compression ISMIR 2024 Marco Pasini, Stefan Lattner, George Fazekas
Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem Compatibility Estimation ISMIR 2024 Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Michael Anslow, Geoffroy Peeters
Controlling Surprisal in Music Generation via Information Content Curve Matching ISMIR 2024 Mathias Bjare, Stefan Lattner, Gerhard Widmer
Deep Learning-based Audio Representations for the Analysis and Visualisation of Timbre in Electronic Dance Music DJ Mixes AES International Symposium Alexander Williams, Haokun Tian, Stefan Lattner, Mathieu Barthet, Charalampos Saitis
Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning ICASSP 2024 Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters
Bass Accompaniment Generation via Latent Diffusion ICASSP 2024 Marco Pasini, Maarten Grachten, Stefan Lattner
Self-Supervised Music Source Separation Using Vector-Quantized Source Category Estimates NeurIPS 2023 – MLA Workshop Marco Pasini, Stefan Lattner, George Fazekas
Singer Identity Representation Learning Using Self-Supervised Techniques ISMIR 2023 Bernardo Torres, Stefan Lattner, Gael Richard
Exploring Sampling Techniques for Generating Melodies with a Transformer Language Model ISMIR 2023 Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer
PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective ISMIR 2023 Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters
GANStrument: Adversarial Instrument Sound Synthesis with Pitch-Invariant Instance Conditioning ICASSP 2023 Gaku Narita, Junichi Shimizu, Taketo Akama
Differentiable Short-Term Models for Efficient Online Learning and Prediction in Monophonic Music TISMIR 2022 Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer