Datasets:
license: mit
task_categories:
- text-to-speech
The Dataset associated with the Paper "Meta Learning Text-to-Speech Synthesis in over 7000 Languages" by Florian Lux, Sarina Meyer, Lyonel Behringer, Frank Zalkow, Phat Do, Matt Coler, Emanuël A. P. Habets and Ngoc Thang Vu (Interspeech 2024).
We generate 2000 spoken utterances per language using the subsets of the eBible dataset [1] that are under free licenses as the text input to the MMS TTS models [2].
[1] V. Akerman, D. Baines, D. Daspit, U. Hermjakob et al., “The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages,” arXiv:2304.09919, 2023.
[2] V. Pratap, A. Tjandra, B. Shi, P. Tomasello, A. Babu, S. Kundu, A. Elkahky, Z. Ni et al., “Scaling speech technology to 1,000+ languages,” Journal of Machine Learning Research, 2024.