| Multilingual TEDx: a Multilingual Corpus for Speech Recognition and Translation | |
| Release v1.0, 02/01/2021 | |
| JHU - Johns Hopkins University, Baltimore, USA | |
| UMD - University of Maryland, College Park, USA | |
| FBK - Fondazione Bruno Kessler, Trento, Italy | |
| 1. Overview | |
| Multilingual TEDx is a multilingual speech recognition and translation corpus to facilitate the training of ASR and SLT models in additional languages. The corpus comprises audio recordings and transcripts from TEDx Talks in 8 languages (Spanish, French, Portuguese, Italian, Russian, Greek, Arabic, German) with translations into up to 5 languages (English, Spanish, French, Portguese, Italian). | |
| The audio recordings are automatically aligned at the sentence level with their manual transcriptions and translations. | |
| 2. Contents | |
| - mTEDx_v1.0_XX-YY.tar.gz | |
| 21 compressed archives, one for each language pair (XX-YY) and for additional ASR data (XX-XX) | |
| 2.1 Archive Contents | |
| - data/ | |
| - docs/ | |
| 2.1.1 data/ | |
| It contains three directories, one for each set on which the corpus has been partitioned: | |
| - train | |
| the set utilized to train models | |
| - valid | |
| the set utilized for validation during training | |
| - test | |
| the set utilized to evaluate models | |
| Each data split directory is organized in three sub-directories: | |
| - txt/ | |
| it contains three or four text files: | |
| (1) the source language sentences, | |
| (2) the corresponding aligned target language sentences (if translations) | |
| (3) the source audio alignment info in yaml format, one line for each sentence | |
| (4) the source audio alignment in kaldi segments format, one line for each sentence | |
| note that the text files contain the transcripts/translations only, and do not have the segment ids on the same line. | |
| the text files are parallel line-by-line with the segments and yaml files, which contain the segment ids. | |
| - vtt/ | |
| it contains the original vtt files for each talk. | |
| - wav/ | |
| it contains the audio files in flac format, one for each TEDx talk. | |
| we distribute flac files for compression and easier download. | |
| if you need to convert between flac and wav, we recommend sox; only the file metadata will change in conversion | |
| 2.1.2 docs/ | |
| - README.txt | |
| (this file) | |
| - statistics.txt | |
| contains statistics of the language or language pair, listed by split | |
| 3. Acknowledgments and Copyright information | |
| - TED and TEDx talks are copyrighted by TED Conference LLC and licensed under a | |
| Creative Commons Attribution-NonCommercial-NoDerivs 4.0 | |
| (cfr. https://www.ted.com/about/our-organization/our-policies-terms/ted-talks-usage-policy) | |
| - The Multilingual TEDx corpus is released under the same Creative Commons | |
| Attribution-NonCommercial-NoDerivs 4.0 License. | |
| If you use the Multilingual TEDx corpus in your work, please cite the following paper: | |
| Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman, Roldano Cattoni, Matteo Negri, Marco Turchi, Douglas Oard, Matt Post. 2021. Multilingual TEDx Corpus for Speech Recognition and Translation. | |
| bibtex: | |
| @misc{salesky2021mtedx, | |
| title={Multilingual TEDx Corpus for Speech Recognition and Translation}, | |
| author={Elizabeth Salesky and Matthew Wiesner and Jacob Bremerman and Roldano Cattoni and Matteo Negri and \ | |
| Marco Turchi and Douglas W. Oard and Matt Post}, | |
| year={2021}, | |
| } | |
| 4. Contact Information | |
| For further information about the Multilingual TEDx corpus, please contact: | |
| Elizabeth Salesky <esalesky@jhu.edu> | |
| Matthew Wiesner <wiesner@jhu.edu> | |