activity
20172023
most citedGradient tree boosting with random output projections for multi-label classification and multi-output regression

7 citations · 7 across the 5 of their papers we have counts for

collaborators
Showing 2022 · eess.ASShow all

2 papers · 2 filters

eess.AS2022

Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody

Peter Makarov, Ammar Abbas, Mateusz Łajszczak +5

Generating expressive and contextually appropriate prosody remains a challenge for modern text-to-speech (TTS) systems. This is particularly evident for long, multi-sentence inputs…

eess.AS2022

Distribution augmentation for low-resource expressive text-to-speech

Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar +8

This paper presents a novel data augmentation technique for text-to-speech (TTS), that allows to generate new (text, audio) training examples without requiring any additional data.…