Announcing the Blizzard Challenge 2025 for Bildts Speech Synthesis
Hosting a special session at SSW13 focused on speech synthesis for the Bildts language of Fryslân.
Jan 16, 2025
Meta Learning Text-to-Speech Synthesis in over 7000 Languages
We developed a meta-learning approach for text-to-speech synthesis that works across 7000+ languages, especially benefiting under-resourced and endangered languages.
Jun 1, 2024
SarcasticSpeech: Speech Synthesis for Sarcasm in Low-Resource Scenarios
We present a first attempt at sarcastic speech synthesis using transfer learning to overcome the challenge of limited sarcastic speech data.
Aug 1, 2023
Strategies in Transfer Learning for Low-Resource Speech Synthesis: Phone Mapping, Features Input, and Source Language Selection
A comparative study of different transfer learning strategies for text-to-speech synthesis in low-resource languages.
Jun 21, 2023
The Effects of Input Type and Pronunciation Dictionary Usage in Transfer Learning for Low-Resource Text-to-Speech
A study of input types and pronunciation dictionary alternatives for text-to-speech in low-resource languages, with a focus on West Frisian.
Jun 1, 2023
Resource-Efficient Fine-Tuning Strategies for Automatic MOS Prediction in Text-to-Speech for Low-Resource Languages
Research on efficient strategies for automatic Mean Opinion Score prediction in text-to-speech for low-resource languages, with a case study on West Frisian.
May 30, 2023
Frisian Text-to-Speech Using Cross-Lingual Transfer Learning: An Experiment with 5 Source Languages
An investigation into cross-lingual transfer learning for Frisian text-to-speech using five different source languages.
Sep 14, 2022
Text-to-Speech for Under-Resourced Languages: Phoneme Mapping and Source Language Selection in Transfer Learning
Novel approaches to text-to-speech systems for under-resourced languages.
Jun 1, 2022
Text-to-Speech for Under-Resourced Languages: Phoneme Mapping and Source Language Selection in Transfer Learning
Novel approaches to text-to-speech systems for under-resourced languages.
Jan 1, 2022
A systematic review and analysis of multilingual data strategies in text-to-speech for low-resource languages
This paper provides a systematic review of multilingual data strategies for text-to-speech in low-resource languages, introducing a novel Multilingual Model Effect (MLME) measure.
Aug 30, 2021