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

#machine learning Oct 2025

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 · arXiv.org · 2 citations