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README.md
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# π **Key Features**
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- **Architecture**: Wav2Vec 2.0 - [`facebook/wav2vec2-large-960h-lv60-self `](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self/tree/main) π.
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- **Input**: 16kHz sampled speech with arbitrary length ποΈ.
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- **Output**: Binary classification score (<Fake score
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- **Training Dataset**: Totally 18k hours of fake speech and 56k hours of real speech.
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# ποΈ **Architecture**
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# π **Key Features**
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- **Architecture**: Wav2Vec 2.0 - [`facebook/wav2vec2-large-960h-lv60-self `](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self/tree/main) π.
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- **Input**: 16kHz sampled speech with arbitrary length ποΈ.
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- **Output**: Binary classification score (<Fake score π΄ , Real score π’>).
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- **Training Dataset**: Totally 18k hours of fake speech and 56k hours of real speech.
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# ποΈ **Architecture**
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