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README.md
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tags:
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- speech-recognition
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language:
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- min
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- ind
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- sun
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- bug
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- ace
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- ban
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- jav
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---
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The LibriVox Indonesia dataset consists of MP3 audio and a corresponding text file we generated from the public domain audiobooks LibriVox.
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We collected only languages in Indonesia for this dataset.
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The original LibriVox audiobooks or sound files' duration varies from a few minutes to a few hours.
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Each audio file in the speech dataset now lasts from a few seconds to a maximum of 20 seconds.
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We converted the audiobooks to speech datasets using the forced alignment software we developed.
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It supports multilingual, including low-resource languages, such as Acehnese, Balinese, or Minangkabau.
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We can also use it for other languages without additional work to train the model.
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The dataset currently consists of 8 hours in 7 languages from Indonesia.
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We will add more languages or audio files as we collect them.
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## Dataset Usage
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## Citation
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research,
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title={indonesian-nlp/librivox-indonesia 路 datasets at hugging face},
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url={https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia},
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author={Indonesian-nlp}
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}
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```
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## License
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## Homepage
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### NusaCatalogue
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For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
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tags:
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- speech-recognition
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language:
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- ban
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- jav
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+
- bug
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- sun
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- ind
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- ace
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- min
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---
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# librivox_indonesia
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The LibriVox Indonesia dataset consists of MP3 audio and a corresponding text file we generated from the public domain audiobooks LibriVox.
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+
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We collected only languages in Indonesia for this dataset.
|
19 |
+
|
20 |
The original LibriVox audiobooks or sound files' duration varies from a few minutes to a few hours.
|
21 |
+
|
22 |
Each audio file in the speech dataset now lasts from a few seconds to a maximum of 20 seconds.
|
23 |
+
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We converted the audiobooks to speech datasets using the forced alignment software we developed.
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+
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It supports multilingual, including low-resource languages, such as Acehnese, Balinese, or Minangkabau.
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+
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We can also use it for other languages without additional work to train the model.
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+
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The dataset currently consists of 8 hours in 7 languages from Indonesia.
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+
We will add more languages or audio files as we collect them.
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## Dataset Usage
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## Citation
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```
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@misc{
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research,
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title={indonesian-nlp/librivox-indonesia 路 datasets at hugging face},
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url={https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia},
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author={Indonesian-nlp}
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}
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```
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## License
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## Homepage
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[https://huggingface.co/indonesian-nlp/librivox-indonesia](https://huggingface.co/indonesian-nlp/librivox-indonesia)
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### NusaCatalogue
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For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
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