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20202025
most citedEnhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations

1 citations · 2 across the 5 of their papers we have counts for

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cs.SD2023★ 1 cited

SCRAPS: Speech Contrastive Representations of Acoustic and Phonetic Spaces

Ivan Vallés-Pérez, Grzegorz Beringer, Piotr Bilinski +2

Numerous examples in the literature proved that deep learning models have the ability to work well with multimodal data. Recently, CLIP has enabled deep learning systems to learn s…

cs.SD2021

Improving multi-speaker TTS prosody variance with a residual encoder and normalizing flows

Iván Vallés-Pérez, Julian Roth, Grzegorz Beringer +2

Text-to-speech systems recently achieved almost indistinguishable quality from human speech. However, the prosody of those systems is generally flatter than natural speech, produci…