collaborators

5 papers

eess.AS2026

Anatomy-aware cross-speaker adaptation of complete vocal-tract acoustic-to-articulatory inversion

Nhat-Nam Nguyen, Pierre-Andre Vuissoz, Yves Laprie

Cross-speaker acoustic-to-articulatory inversion requires accounting for anatomical differences between speakers. We propose a geometric adaptation framework that uses anatomical l…

cs.CL2026

Evaluating Speech Articulation Synthesis with Articulatory Phoneme Recognition

Vinicius Ribeiro, Yves Laprie

Recent advances in machine learning and the availability of articulatory datasets allow vocal tract synthesis to be conditioned on phonetic sequences, a primary task of articulator…

eess.AS2026

Acoustic-to-articulatory Inversion of the Complete Vocal Tract from RT-MRI with Various Audio Embeddings and Dataset Sizes

Sofiane Azzouz, Pierre-André Vuissoz, Yves Laprie

Articulatory-to-acoustic inversion strongly depends on the type of data used. While most previous studies rely on EMA, which is limited by the number of sensors and restricted to a…

eess.AS2026

Reconstruction of the Vocal Tract from Speech via Phonetic Representations Using MRI Data

Sofiane Azzouz, Pierre-André Vuissoz, Yves Laprie

Articulatory acoustic inversion aims to reconstruct the complete geometry of the vocal tract from the speech signal. In this paper, we present a comparative study of several levels…

eess.AS2026

Acoustic-to-Articulatory Inversion of Clean Speech Using an MRI-Trained Model

Sofiane Azzouz, Pierre-André Vuissoz, Yves Laprie

Articulatory acoustic inversion reconstructs vocal tract shapes from speech. Real-time magnetic resonance imaging (rt-MRI) allows simultaneous acquisition of both the acoustic spee…