no code implementations • 2 Feb 2024 • María Sánchez, Laura Fernández, Julián Arias, Mateo Cámara, Giulia Comini, Adam Gabrys, José Luis Blanco, Juan Ignacio Godino, Luis Alfonso Hernández
We present a processing flow that, starting from images extracted from videos, is able to sound them.
no code implementations • 29 Jul 2022 • Giulia Comini, Goeric Huybrechts, Manuel Sam Ribeiro, Adam Gabrys, Jaime Lorenzo-Trueba
The availability of data in expressive styles across languages is limited, and recording sessions are costly and time consuming.
no code implementations • 10 Feb 2022 • Manuel Sam Ribeiro, Julian Roth, Giulia Comini, Goeric Huybrechts, Adam Gabrys, Jaime Lorenzo-Trueba
The proposed approach relies on voice conversion to first generate high-quality data from the set of supporting expressive speakers.
no code implementations • 13 Aug 2021 • Abdelhamid Ezzerg, Adam Gabrys, Bartosz Putrycz, Daniel Korzekwa, Daniel Saez-Trigueros, David McHardy, Kamil Pokora, Jakub Lachowicz, Jaime Lorenzo-Trueba, Viacheslav Klimkov
Artificial speech synthesis has made a great leap in terms of naturalness as recent Text-to-Speech (TTS) systems are capable of producing speech with similar quality to human recordings.
no code implementations • 1 Feb 2021 • Yunlong Jiao, Adam Gabrys, Georgi Tinchev, Bartosz Putrycz, Daniel Korzekwa, Viacheslav Klimkov
We present a universal neural vocoder based on Parallel WaveNet, with an additional conditioning network called Audio Encoder.
no code implementations • 17 Dec 2020 • Jonas Rohnke, Tom Merritt, Jaime Lorenzo-Trueba, Adam Gabrys, Vatsal Aggarwal, Alexis Moinet, Roberto Barra-Chicote
In this paper we investigate the use of a sentence-level conditioning vector to improve the signal quality of a Parallel WaveNet neural vocoder.