Hebrew phonemes TTS Dataset 🗣️
This dataset contains around 2 hours of studio-quality speech.
It includes two speakers (merged into a single dataset):
It includes clean Hebrew text and IPA phonemes. The audio is in 22.05 kHz mono format with clean recordings.
Non commercial. See LICENSE
Annotations are provided in metadata.csv, metadata_train.csv, and metadata_test.csv (150 samples held-out test set).
Format: id|ipa|text — example: speaker1_000|kotˈeʁet|כותרת where speaker1_000 points to ./wav/speaker1_000.wav. Each wav is 2 to 25 seconds.
and the phonemization was done using https://github.com/thewh1teagle/phonikud, with manual corrections for accuracy.
You can find training receipes for the dataset in github.com/thewh1teagle/ilspeech-train
The dataset comes with phonemes already so you don't need this for train,
However you do need it after you train the model.
you can phonemize the text using Phonikud
If you use this dataset in your work, please cite:
@misc{kolani2025phonikud,
title={Phonikud: Hebrew Grapheme-to-Phoneme Conversion for Real-Time Text-to-Speech},
author={Yakov Kolani and Maxim Melichov and Cobi Calev and Morris Alper},
year={2025},
eprint={2506.12311},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2506.12311},
}
Please note that the paper uses v1.0 of this dataset.
Hebrew phonemes TTS Dataset 🗣️
This dataset contains around 2 hours of studio-quality speech.
It includes two speakers (merged into a single dataset):
It includes clean Hebrew text and IPA phonemes. The audio is in 22.05 kHz mono format with clean recordings.
Non commercial. See LICENSE
Annotations are provided in metadata.csv, metadata_train.csv, and metadata_test.csv (150 samples held-out test set).
Format: id|ipa|text — example: speaker1_000|kotˈeʁet|כותרת where speaker1_000 points to ./wav/speaker1_000.wav. Each wav is 2 to 25 seconds.
and the phonemization was done using https://github.com/thewh1teagle/phonikud, with manual corrections for accuracy.
You can find training receipes for the dataset in github.com/thewh1teagle/ilspeech-train
The dataset comes with phonemes already so you don't need this for train,
However you do need it after you train the model.
you can phonemize the text using Phonikud
If you use this dataset in your work, please cite:
@misc{kolani2025phonikud,
title={Phonikud: Hebrew Grapheme-to-Phoneme Conversion for Real-Time Text-to-Speech},
author={Yakov Kolani and Maxim Melichov and Cobi Calev and Morris Alper},
year={2025},
eprint={2506.12311},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2506.12311},
}
Please note that the paper uses v1.0 of this dataset.