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Author

Nicolas Obin

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#machine learning Preprint Sep 2026

A Comprehensive Study of Content Representations for Speech Synthesis

Speech content representations are central to voice conversion, speech-to-speech translation, and multimodal language models, yet they are rarely compared under a common generative framework that directly measures what each representation contains. We address this by training a generative model conditioned solely on ea...

Diego Torres, Axel Roebel, Nicolas Obin · 0 citations
#artificial intelligence Preprint Sep 2026

Understanding Hyperspherical Geometry of ECAPA-TDNN Embedding and Its Impact on Zero-Shot Voice Conversion

Two geometric regularization strategies (hinged Riesz log-energy and effective-dimension maximization) applied to classifier prototypes to encourage more uniform hyperspherical coverage are investigated and the resulting prototype sets exhibit higher effective dimensionality and improved isotropy.

Mathilde Abrassart, Nicolas Obin, Axel Roebel · 0 citations

PitchFlower: A flow-based neural audio codec with pitch controllability

P PitchFlower is presented, a flow-based neural audio codec with explicit pitch controllability and a strong resilience of deep generative modeling to input degradation, which suggests that the framework provides a simple and extensible path that could be extended to other speech attributes.

Diego Torres, Axel Roebel, Nicolas Obin · 2 citations

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