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Bartek Perz

2 accepted papers

2022

Voice Filter: Few-Shot Text-to-Speech Speaker Adaptation Using Voice Conversion as a Post-Processing Module

ICASSP 2022accepted

State-of-the-art text-to-speech (TTS) systems require several hours of recorded speech data to generate high-quality synthetic speech. When using reduced amounts of training data, standard TTS models suffer from speech quality and intelligibility degradations, making training low-resource TTS system…

Cited by 31SourceScholar
2021

Low-Resource Expressive Text-To-Speech Using Data Augmentation

ICASSP 2021accepted

While recent neural text-to-speech (TTS) systems perform remarkably well, they typically require a substantial amount of recordings from the target speaker reading in the desired speaking style. In this work, we present a novel 3-step methodology to circumvent the costly operation of recording large…

Cited by 0SourceScholar