6 citations · 6 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
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…
Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning
Giuseppe Ruggiero, Enrico Zovato, Luigi Di Caro +1
Deep learning models are becoming predominant in many fields of machine learning. Text-to-Speech (TTS), the process of synthesizing artificial speech from text, is no exception. To…