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Browse files- .gitattributes +2 -0
- .gitignore +1 -0
- LICENSE +6 -0
- README.md +63 -0
- speaker1/ilspeech_speaker1_v1.7z +3 -0
- speaker2/ilspeech_speaker2_v1.7z +3 -0
.gitattributes
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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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.gitignore
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LICENSE
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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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Commercial use and non-academic non-commercial use are not permitted.
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For any other use, please contact the dataset creators.
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README.md
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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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# ILSpeech
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Hebrew phonemes TTS Dataset 🗣️
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## Dataset content
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This dataset contains around 2 hours of studio-quality speech.
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It includes two folders corresponding to two speakers:
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- Speaker 1: 40m male speaker
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- Speaker 2: 1h 30m male speaker
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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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Each dataset is approximately 120 MB.
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## License
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Non commercial. See [LICENSE](LICENSE)
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## Sample
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- Speaker 1:
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<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/63cfcf99e23b90128c66be2a/13JJXEgB5K08x5B47CsFG.wav"></audio>
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- Speaker 2:
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<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/63cfcf99e23b90128c66be2a/DYElS9v--nTY5jlvQDduy.wav"></audio>
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## Format
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Phoneme annotations are provided in LJSpeech format `file_id|phonemes` inside `metadata.csv` file (LJSpeech format).
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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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## Training
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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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## 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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speaker1/ilspeech_speaker1_v1.7z
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version https://git-lfs.github.com/spec/v1
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oid sha256:54a6c725335ceeae36527c91f97b29d2aabe9fc29177f177bc6b1d28034b714a
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size 111724858
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speaker2/ilspeech_speaker2_v1.7z
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version https://git-lfs.github.com/spec/v1
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oid sha256:21b5b19a1585f8e2af448b5f6cc7d8bf4e7eec2dfe242e6d5d000b44b91ac537
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size 125824199
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