|
--- |
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dataset_info: |
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- config_name: female |
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features: |
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- name: audio |
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dtype: audio |
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- name: text |
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dtype: string |
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- name: speaker_id |
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dtype: int64 |
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splits: |
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- name: train |
|
num_bytes: 1928460472.968 |
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num_examples: 3921 |
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download_size: 1625565296 |
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dataset_size: 1928460472.968 |
|
- config_name: male |
|
features: |
|
- name: audio |
|
dtype: audio |
|
- name: text |
|
dtype: string |
|
- name: speaker_id |
|
dtype: int64 |
|
splits: |
|
- name: train |
|
num_bytes: 844151626.352 |
|
num_examples: 1818 |
|
download_size: 707569029 |
|
dataset_size: 844151626.352 |
|
configs: |
|
- config_name: female |
|
data_files: |
|
- split: train |
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path: female/train-* |
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- config_name: male |
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data_files: |
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- split: train |
|
path: male/train-* |
|
--- |
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# Dataset Card for "google-argentinian-spanish" |
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This data set contains transcribed high-quality audio of random Spanish sentences recorded by volunteers in Buenos Aires, Argentina. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file. |
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The data set also contains recordings of simple weather messages recorded in Argentinian Spanish (90 messages), and Peninsular Spanish (90 messages). |
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The data set has been manually quality checked, but there might still be errors. |
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Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues |
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See LICENSE file for license information. |
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Copyright 2018, 2019 Google, Inc. |
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### Citation |
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``` |
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@inproceedings{guevara-rukoz-etal-2020-crowdsourcing, |
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title = {{Crowdsourcing Latin American Spanish for Low-Resource Text-to-Speech}}, |
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author = {Guevara-Rukoz, Adriana and Demirsahin, Isin and He, Fei and Chu, Shan-Hui Cathy and Sarin, Supheakmungkol and Pipatsrisawat, Knot and Gutkin, Alexander and Butryna, Alena and Kjartansson, Oddur}, |
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booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)}, |
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year = {2020}, |
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month = may, |
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address = {Marseille, France}, |
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publisher = {European Language Resources Association (ELRA)}, |
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url = {https://www.aclweb.org/anthology/2020.lrec-1.801}, |
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pages = {6504--6513}, |
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ISBN = {979-10-95546-34-4}, |
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} |
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``` |