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--- |
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dataset_info: |
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features: |
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- name: audio |
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dtype: audio |
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- name: transcription |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 109304535928.432 |
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num_examples: 90244 |
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- name: validation |
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num_bytes: 1051506219.236 |
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num_examples: 1013 |
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- name: test |
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num_bytes: 1226193261.48 |
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num_examples: 1020 |
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download_size: 93176985982 |
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dataset_size: 111582235409.148 |
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license: cc-by-nc-4.0 |
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task_categories: |
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- automatic-speech-recognition |
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- audio-classification |
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tags: |
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- automatic-speech-recognition |
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- audio-classification |
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- Portuguese |
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- ASR |
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language: |
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- pt |
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pretty_name: mTEDx PTBR |
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--- |
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# Multilingual TEDx (Portuguese speech and transcripts) |
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**NOTE:** This dataset contains only the Portuguese portion of the mTEDx dataset, already processed and segmented into parts. |
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**Multilingual TEDx (mTEDx)** is a multilingual speech recognition and translation corpus to facilitate the training of ASR and SLT models in additional languages. |
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The corpus comprises audio recordings and transcripts from [TEDx Talks](https://www.ted.com/watch/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). |
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The audio recordings are automatically aligned at the sentence level with their manual transcriptions and translations. |
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Each .tgz file contains two directories: data and docs. docs contains a README detailing the files provided in data and their structure. |
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Test sets for all [IWSLT 2021](https://iwslt.org/2021/multilingual) language pairs can be found in mtedx_iwslt2021.tgz. |
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For more information on the dataset please see the [dataset paper](https://arxiv.org/abs/2102.01757). |
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Contact: Elizabeth Salesky, Matthew Wiesner. [[email protected], [email protected]](mailto:[email protected];[email protected];) |
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Citation: If you use the Multilingual TEDx corpus in your work, please cite the dataset paper: |
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```latex |
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@inproceedings{salesky2021mtedx, |
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title={Multilingual TEDx Corpus for Speech Recognition and Translation}, |
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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}, |
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booktitle={Proceedings of Interspeech}, |
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year={2021}, |
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} |
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``` |
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