4 papers · 1 filter
A Comprehensive Study of Content Representations for Speech Synthesis
Diego Torres, Axel Roebel, Nicolas Obin
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…
PitchFlower: A flow-based neural audio codec with pitch controllability
Diego Torres, Axel Roebel, Nicolas Obin
We present PitchFlower, a flow-based neural audio codec with explicit pitch controllability. Our approach promotes pitch disentanglement through a simple perturbation: during train…
Lina-Speech: Gated Linear Attention and Initial-State Tuning for Multi-Sample Prompting Text-To-Speech Synthesis
Théodor Lemerle, Téo Guichoux, Axel Roebel +1
Neural codec language models, built on transformer architecture, have revolutionized text-to-speech (TTS) synthesis, excelling in voice cloning by treating it as a prefix continuat…
BWSNet: Automatic Perceptual Assessment of Audio Signals
Clément Le Moine Veillon, Victor Rosi, Pablo Arias Sarah +2
This paper introduces BWSNet, a model that can be trained from raw human judgements obtained through a Best-Worst scaling (BWS) experiment. It maps sound samples into an embedded s…