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README.md
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license: mit
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datasets:
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- upai-inc/saspeech
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language:
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- he
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base_model:
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- fishaudio/fish-speech-1.5
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license: mit
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datasets:
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- upai-inc/saspeech
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- sleeping-ai/Fish-Hebrew
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language:
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- he
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base_model:
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- fishaudio/fish-speech-1.5
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---
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Hebrew is fundamentally a hard language to work in the field of Natural language processing and it is also one of the underrepresented language in the field of Speech-Speech and Text-to-Speech models. Mainly boils down to limited availability of data. To explore Speech-Speech **(Voice Cloning)**, I used [Dataset](https://www.isca-archive.org/interspeech_2023/sharoni23_interspeech.pdf) to fine-tune Fish-speech 1.5 on roughly 2.5 hours of Hebrew audio on their Gold-standard subset.
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I have also fixed a few bugs on Fish's fine-tuning code and created a [pull-request](https://github.com/fishaudio/fish-speech/pull/973)
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