5 papers
Enhancing Pathological Speech through Articulatory Bottlenecks
Ailín Pollio San Pedro, Olivier Perrotin, Thomas Hueber
Dysarthric speech reconstruction (DSR) typically relies on linguistic or phonetic representations extracted from impaired speech to generate a more intelligible waveform. We invest…
GLaS-JEPA: Gaussian-Regularized Speech SSL without Engineered Prediction Targets
Gaspard Botté, Séverin Baroudi, Samir Sadok +5
Speech self-supervised learning aims to learn general-purpose representations for downstream speech tasks. However, current approaches rely on complex, carefully designed predictio…
From Tokens to Faces: Investigating Discrete Speech Representations for 3D Facial Animation
Pedro Correa, Olivier Perrotin, Samir Sadok +2
The choice of speech representation is critical in speech-driven 3D facial animation. Representations differ in what they encode: SSL features emphasize segmental and semantic cues…
MauBERT: Universal Phonetic Inductive Biases for Few-Shot Acoustic Units Discovery
Angelo Ortiz Tandazo, Manel Khentout, Youssef Benchekroun +2
This paper introduces MauBERT, a multilingual extension of HuBERT that leverages articulatory features for robust cross-lingual phonetic representation learning. We continue HuBERT…
Simulating Articulatory Trajectories with Phonological Feature Interpolation
Angelo Ortiz Tandazo, Thomas Schatz, Thomas Hueber +1
As a first step towards a complete computational model of speech learning involving perception-production loops, we investigate the forward mapping between pseudo-motor commands an…