
# Multilingual TEDx (Portuguese speech and transcripts)

**NOTE:** This dataset contains only the Portuguese portion of the mTEDx dataset, already processed and segmented into parts.

**Multilingual TEDx (mTEDx)** 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](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).
The audio recordings are automatically aligned at the sentence level with their manual transcriptions and translations.
Each .tgz file contains two directories: data and docs. docs contains a README detailing the files provided in data and their structure.
Test sets for all [IWSLT 2021](https://iwslt.org/2021/multilingual) language pairs can be found in mtedx_iwslt2021.tgz.
For more information on the dataset please see the [dataset paper](https://arxiv.org/abs/2102.01757). 

Contact: Elizabeth Salesky, Matthew Wiesner. [esalesky@jhu.edu, wiesner@jhu.edu](mailto:esalesky@jhu.edu;wiesner@jhu.edu;)

Citation: If you use the Multilingual TEDx corpus in your work, please cite the dataset paper:

```latex
@inproceedings{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},
  booktitle={Proceedings of Interspeech},
  year={2021},
}
```

task_categories:automatic-speech-recognition task_categories:audio-classification language:pt license:cc-by-nc-4.0 automatic-speech-recognition audio-classification Portuguese ASR arxiv:2102.01757 region:us
{"language": ["pt"], "license": "cc-by-nc-4.0", "task_categories": ["automatic-speech-recognition", "audio-classification"], "pretty_name": "mTEDx PTBR", "dataset_info": {"features": [{"name": "audio", "dtype": "audio"}, {"name": "transcription", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 109304535928.432, "num_examples": 90244}, {"name": "validation", "num_bytes": 1051506219.236, "num_examples": 1013}, {"name": "test", "num_bytes": 1226193261.48, "num_examples": 1020}], "download_size": 93176985982, "dataset_size": 111582235409.148}, "tags": ["automatic-speech-recognition", "audio-classification", "Portuguese", "ASR"]}
TAGS
#task_categories-automatic-speech-recognition #task_categories-audio-classification #language-Portuguese #license-cc-by-nc-4.0 #automatic-speech-recognition #audio-classification #Portuguese #ASR #arxiv-2102.01757 #region-us 


# Multilingual TEDx (Portuguese speech and transcripts)

NOTE: This dataset contains only the Portuguese portion of the mTEDx dataset, already processed and segmented into parts.

Multilingual TEDx (mTEDx) 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.
Each .tgz file contains two directories: data and docs. docs contains a README detailing the files provided in data and their structure.
Test sets for all IWSLT 2021 language pairs can be found in mtedx_iwslt2021.tgz.
For more information on the dataset please see the dataset paper. 

Contact: Elizabeth Salesky, Matthew Wiesner. esalesky@URL, wiesner@URL

Citation: If you use the Multilingual TEDx corpus in your work, please cite the dataset paper:



# Multilingual TEDx (Portuguese speech and transcripts)

NOTE: This dataset contains only the Portuguese portion of the mTEDx dataset, already processed and segmented into parts.

Multilingual TEDx (mTEDx) 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.
Each .tgz file contains two directories: data and docs. docs contains a README detailing the files provided in data and their structure.
Test sets for all IWSLT 2021 language pairs can be found in mtedx_iwslt2021.tgz.
For more information on the dataset please see the dataset paper. 

Contact: Elizabeth Salesky, Matthew Wiesner. esalesky@URL, wiesner@URL

Citation: If you use the Multilingual TEDx corpus in your work, please cite the dataset paper:
TAGS
#task_categories-automatic-speech-recognition #task_categories-audio-classification #language-Portuguese #license-cc-by-nc-4.0 #automatic-speech-recognition #audio-classification #Portuguese #ASR #arxiv-2102.01757 #region-us 
 # Multilingual TEDx (Portuguese speech and transcripts)

NOTE: This dataset contains only the Portuguese portion of the mTEDx dataset, already processed and segmented into parts.

Multilingual TEDx (mTEDx) 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.
Each .tgz file contains two directories: data and docs. docs contains a README detailing the files provided in data and their structure.
Test sets for all IWSLT 2021 language pairs can be found in mtedx_iwslt2021.tgz.
For more information on the dataset please see the dataset paper. 

Contact: Elizabeth Salesky, Matthew Wiesner. esalesky@URL, wiesner@URL

Citation: If you use the Multilingual TEDx corpus in your work, please cite the dataset paper: