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cs.CL2024
Do Discrete Self-Supervised Representations of Speech Capture Tone Distinctions?
Opeyemi Osakuade, Simon King
Discrete representations of speech, obtained from Self-Supervised Learning (SSL) foundation models, are widely used, especially where there are limited data for the downstream task…
cs.SD2024★ 5 cited
Natural language guidance of high-fidelity text-to-speech with synthetic annotations
Dan Lyth, Simon King
Text-to-speech models trained on large-scale datasets have demonstrated impressive in-context learning capabilities and naturalness. However, control of speaker identity and style…