2 papers
cs.SD2025
Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation
Giuseppe Ruggiero, Matteo Testa, Jurgen Van de Walle +1
Self-supervised learning (SSL) has reduced the reliance on expensive labeling in speech technologies by learning meaningful representations from unannotated data. Since most SSL-ba…
cs.SD2024
Enhancing Polyglot Voices by Leveraging Cross-Lingual Fine-Tuning in Any-to-One Voice Conversion
Giuseppe Ruggiero, Matteo Testa, Jurgen Van de Walle +1
The creation of artificial polyglot voices remains a challenging task, despite considerable progress in recent years. This paper investigates self-supervised learning for voice con…