Datasets:
| license: mit | |
| task_categories: | |
| - text-to-speech | |
| dataset_info: | |
| features: | |
| - name: audio | |
| dtype: audio | |
| - name: transcript | |
| dtype: string | |
| - name: language_code | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 508120568184.992 | |
| num_examples: 736272 | |
| download_size: 597640766127 | |
| dataset_size: 508120568184.992 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| 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. | |