| Where do the improvements come from in sequence-to-sequence neural TTS? O Watts, GE Henter, J Fong, C Valentini-Botinhao 2019 ISCA Speech Synthesis Workshop (SSW) 10, 217-222, 2019 | 34 | 2019 |
| A comparison between letters and phones as input to sequence-to-sequence models for speech synthesis J Fong, J Taylor, K Richmond, S King 10th ISCA Speech Synthesis Workshop, 223-227, 2019 | 30 | 2019 |
| Multilingual text-to-speech training using cross language voice conversion and self-supervised learning of speech representations J Wu, A Polyak, Y Taigman, J Fong, P Agrawal, Q He ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 13 | 2022 |
| Investigating the Robustness of Sequence-to-Sequence Text-to-Speech Models to Imperfectly-Transcribed Training Data. J Fong, PO Gallegos, Z Hodari, S King INTERSPEECH, 1546-1550, 2019 | 11 | 2019 |
| Exploring disentanglement with multilingual and monolingual vq-vae J Williams, J Fong, E Cooper, J Yamagishi Proc. 11th ISCA Speech Synthesis Workshop (SSW 11), 2021 | 8 | 2021 |
| Testing the Limits of Representation Mixing for Pronunciation Correction in End-to-End Speech Synthesis. J Fong, J Taylor, S King INTERSPEECH, 4019-4023, 2020 | 5 | 2020 |
| Analysing Temporal Sensitivity of VQ-VAE Sub-Phone Codebooks J Fong, J Williams, S King Proc. 11th ISCA Speech Synthesis Workshop (SSW 11), 227-231, 2021 | 2 | 2021 |
| Improving Polyglot Speech Synthesis through Multi-task and Adversarial Learning J Fong, J Wu, P Agrawal, A Gibiansky, T Koehler, Q He Proc. 11th ISCA Speech Synthesis Workshop (SSW 11), 172-176, 2021 | 2 | 2021 |
| Speech Audio Corrector: using speech from non-target speakers for one-off correction of mispronunciations in grapheme-input text-to-speech J Fong, D Lyth, GE Henter, H Tang, S King Proc. Interspeech 2022, 1213-1217, 2022 | 1 | 2022 |
| Spell4TTS: Acoustically-informed spellings for improving text-to-speech pronunciations J Fong, H Tang, S King 12th Speech Synthesis Workshop (SSW) 2023, 2023 | | 2023 |
| Towards zero-shot Text-based voice editing using acoustic context conditioning, utterance embeddings, and reference encoders J Fong, Y Wang, P Agrawal, V Manohar, J Wu, T Köhler, Q He arXiv preprint arXiv:2210.16045, 2022 | | 2022 |
| Listening-test materials for" Where do the improvements come from in sequence-to-sequence neural TTS?" O Watts, GE Henter, J Fong, C Valentini-Botinhao 纸飞机 tv 版软件官方下载 of Edinburgh. School of Informatics. Centre for …, 2020 | | 2020 |
Simon KingProfessor of Speech Processing, University of EdinburghVerified email at ed.ac.uk
