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
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
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
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