most citedLightweight End-to-end Text-to-speech Synthesis for low resource on-device applications

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.SD2025★ 6 cited

Lightweight End-to-end Text-to-speech Synthesis for low resource on-device applications

Biel Tura Vecino, Adam Gabryś, Daniel Mątwicki +4

Recent works have shown that modelling raw waveform directly from text in an end-to-end (E2E) fashion produces more natural-sounding speech than traditional neural text-to-speech (…