The Blizzard Challenge 2025
The nineteenth Blizzard Challenge focused on speech synthesis for Bildts, a low resource language variety in the Netherands with approximately 6,000 native slpeakers. The main task provided a single-speaker 7-hour Bildts dataset and required<br/>participants to build a voice from this dataset, restricted to using only publicly available data and pre-trained models. Listeners evaluated synthesised samples for Bildts-likeness, naturalness, appropriateness, overall signal quality, and word-level quality (using RPT-like feedback). The optional zero-shot task provided 10 seconds of reference speech from two speakers; participants built voices matching these speakers without constraints on data or models. Listeners evaluated the main task for Bildts-likeness, naturalness, appropriateness, overall signal quality, and word-level errors, while the zero-shot task focused on Bildts-likeness and speaker similarity. Seven teams participated in the main task and five in the zero-shot task.
Authors
- Jelske Dijkstra
- Igor Marchenko
- Matt Coler
- Vass Verkhodanova
- Sébastien Le Maguer
- Phat Do
Publication Details
- Published
- 2025-08-27
- DOI
- https://doi.org/10.21437/blizzard.2025-1
- Primary Topic
- Speech Recognition and Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00