I make machines that sing, speak, play, and hear.
I am a PhD researcher at the Institut Polytechnique de Paris under the supervision of Dr. Gaël Richard in the intersection of audio and machine learning. I have over six years of R&D experience and a strong background in signal processing. My research focuses on controllable and interpretable generative models, particularly on expressive (singing) voice transformation. I also produce music and play jazz/bossa-nova guitar as hobbies.
Interests
Development of audio‑based machines that are transparent and human‑empowering in topics such as:
- Singing Voice & Speech
- Music Generation and Editing
- (Differentiable) Digital Signal Processing
- Deep/Machine Learning
Selected Works
- Interspeech’s SER Challenge (2025): Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking Model
- Master’s Thesis (2024): Cross-Speaker Style Transfer for TTS with Singing Voice Conversion Data Augmentation, Style Filtering, and F0 Matching
- Interspeech’s SynData4GenAI (2024): Exploring synthetic data for cross-speaker style transfer in style representation based TTS
- GENEA (2023): Gesture Generation with Diffusion Models Aided by Speech Activity Information