The ADASP group of Télécom-Paris has 10 papers accepted this year at the IEEE ICASSP-2024 conference.
This month Listen-Lab meeting is dedicated to a short presentation of each of the 10 papers:
- Manvi Agarwal, Changhong Wang, Gaël Richard
Structure-Informed Positional Encoding For Music Generation
- Teysir Baoueb, Haocheng Liu, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard
SpecDiff-GAN: A Spectrally-Shaped Noise Diffusion GAN for Speech and Music Synthesis
- Antonin Gagneré, Slim Essid, Geoffroy Peeters
Adapting Pitch-Based Self Supervised Learning Models For Tempo Estimation
- Elio Gruttadauria, Mathieu Fontaine, Slim Essid
Online Speaker Diarization Of Meetings Guided By Speech Separation
- Haocheng Liu, Teysir Baoueb, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard
GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion Model
- Aurian Quelennec, Michel Olvera, Geoffroy Peeters, Slim Essid
On The Choice Of The Optimal Temporal Support For Audio Classification With Pre-Trained Embeddings
- Côme Peladeau, Geoffroy Peeters
Blind estimation of audio effects using an auto-encoder approach and differentiable signal processing
- Gaël Richard, Pierre Chouteau, Bernardo Torres
A Fully Differentiable Model for Unsupervised Singing Voice Separation
- Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters
Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning
- Bernardo Torres, Geoffroy Peeters, Gaël Richard
Unsupervised Harmonic Parameter Estimation Using Differentiable DSP and Spectral Optimal Transport
