EmoCat: Language-agnostic Emotional Voice Conversion B Schnell, G Huybrechts, B Perz, T Drugman, J Lorenzo-Trueba arXiv preprint arXiv:2101.05695, 2021 | 14 | 2021 |
Improving emotional tts with an emotion intensity input from unsupervised extraction B Schnell, PN Garner Proc. 11th ISCA Speech Synthesis Workshop (SSW 11), 60-65, 2021 | 12 | 2021 |
Investigating a neural all pass warp in modern TTS applications B Schnell, PN Garner Speech Communication 138, 26-37, 2022 | 7 | 2022 |
An End-to-end Network to Synthesize Intonation Using a Generalized Command Response Model F Marelli, B Schnell, H Bourlard, T Dutoit, PN Garner ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 7 | 2019 |
A Neural Model to Predict Parameters for a Generalized Command Response Model of Intonation. B Schnell, PN Garner Interspeech, 3147-3151, 2018 | 6 | 2018 |
A hybrid architecture for pathfinding in dynamic environments B Schnell Software Technology System, 2016 | 3 | 2016 |
Neural VTLN for Speaker Adaptation in TTS B Schnell, PN Garner Proc. 10th ISCA Speech Synthesis Workshop, 29-34, 0 | 3* | |
eCat: An end-to-end model for multi-speaker TTS & many-to-many fine-grained prosody transfer A Abbas, S Karlapati, B Schnell, P Karanasou, MG Moya, A Nagaraj, ... arXiv preprint arXiv:2306.11327, 2023 | 2 | 2023 |
Controllability and Interpretability in Affective Speech Synthesis B Schnell EPFL, 2022 | 2 | 2022 |
A Comparative Analysis of Pretrained Language Models for Text-to-Speech M Granero-Moya, P Karanasou, S Karlapati, B Schnell, N Peinelt, ... arXiv preprint arXiv:2309.01576, 2023 | 1 | 2023 |
A Comparative Analysis of Pretrained Language Models for Text-to-Speech MG Moya, P Karanasou, S Karlapati, B Schnell, N Peinelt, A Moinet, ... 12th Speech Synthesis Workshop (SSW) 2023, 2023 | | 2023 |