Search Results for author: Adam Gabryś

Found 4 papers, 0 papers with code

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

no code implementations12 May 2025 Biel Tura Vecino, Adam Gabryś, Daniel Mątwicki, Andrzej Pomirski, Tom Iddon, Marius Cotescu, Jaime Lorenzo-Trueba

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 (TTS) systems based on a cascade or two-stage approach.

Speech Synthesis text-to-speech +2

Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module

no code implementations16 Feb 2022 Adam Gabryś, Goeric Huybrechts, Manuel Sam Ribeiro, Chung-Ming Chien, Julian Roth, Giulia Comini, Roberto Barra-Chicote, Bartek Perz, Jaime Lorenzo-Trueba

It uses voice conversion (VC) as a post-processing module appended to a pre-existing high-quality TTS system and marks a conceptual shift in the existing TTS paradigm, framing the few-shot TTS problem as a VC task.

Speech Synthesis text-to-speech +2

Improving the expressiveness of neural vocoding with non-affine Normalizing Flows

no code implementations16 Jun 2021 Adam Gabryś, Yunlong Jiao, Viacheslav Klimkov, Daniel Korzekwa, Roberto Barra-Chicote

In the waveform reconstruction task, the proposed model closes the naturalness and signal quality gap from the original PW to recordings by $10\%$, and from other state-of-the-art neural vocoding systems by more than $60\%$.

text-to-speech Text to Speech

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