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.gitattributes CHANGED
@@ -57,3 +57,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ LICENSE.pdf filter=lfs diff=lfs merge=lfs -text
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+ Motek/LICENSE.pdf filter=lfs diff=lfs merge=lfs -text
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+ .DS_Store
LICENSE ADDED
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+ License:
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+ This dataset is licensed under CC BY-NC 4.0, with an additional restriction:
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+ It is intended only for academic research and educational use.
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+
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+ Commercial use and non-academic non-commercial use are not permitted.
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+ For any other use, please contact the dataset creators.
README.md ADDED
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+ ---
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+ language:
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+ - he
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+ pretty_name: ILSpeech
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+ viewer: false
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+ tags:
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+ - tts
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+ - text-to-speech
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+ - hebrew
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+ task_categories:
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+ - text-to-speech
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+ ---
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+
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+ # ILSpeech
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+
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+ Hebrew phonemes TTS Dataset 🗣️
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+
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+ ## Dataset content
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+
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+ This dataset contains around 2 hours of studio-quality speech.
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+
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+ It includes two folders corresponding to two speakers:
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+
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+ - Speaker 1: 40m male speaker
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+ - Speaker 2: 1h 30m male speaker
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+
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+ It includes clean text and phonemes. The audio is in 22.05 kHz mono format with clean recordings.
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+
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+ Each dataset is approximately 120 MB.
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+
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+ ## License
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+
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+ Non commercial. See [LICENSE](LICENSE)
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+
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+ ## Sample
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+
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+ - Speaker 1:
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+
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+ <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/63cfcf99e23b90128c66be2a/13JJXEgB5K08x5B47CsFG.wav"></audio>
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+
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+ - Speaker 2:
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+
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+ <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/63cfcf99e23b90128c66be2a/DYElS9v--nTY5jlvQDduy.wav"></audio>
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+
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+ ## Format
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+
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+ Phoneme annotations are provided in LJSpeech format `file_id|phonemes` inside `metadata.csv` file (LJSpeech format).
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+
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+ Example: `1|ma hamatsav` where `1` will point to `./wav/1.wav`. each wav length is 2 to 25 seconds.
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+ and the phonemization was done using https://github.com/thewh1teagle/phonikud, with manual corrections for accuracy.
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+
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+ ## Training
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+
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+ You can find training receipes for the dataset in [github.com/thewh1teagle/ilspeech-train](https://github.com/thewh1teagle/ilspeech-train)
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+
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+ ## Phonemize
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+ The dataset comes with phonemes already so you don't need this for train,
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+ However you do need it after you train the model.
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+ you can phonemize the text using [Phonikud](https://github.com/thewh1teagle/phonikud)
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