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README.md
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---
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tags:
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- text-to-speech
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- tts
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- pytorch
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language:
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- ar
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license: mit
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---
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# Multi-Speaker TTS Model
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Trained Text-to-Speech model with the following specs:
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## Model Details
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- **Speakers:** 1
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- **Mel Channels:** 80
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- **Sample Rate:** 22050
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- **Vocab Size:** 50000
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## Training Stats
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- **Final Mel Loss:** 5.3586
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- **Validation Mel Loss:** 5.4784
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- **Training Epochs:** 105
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## Mel Normalization
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- **Mean:** -4.8906
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- **Std:** 4.9261
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## Usage
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```python
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import torch
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from transformers import AutoTokenizer
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# Load model
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checkpoint = torch.load('checkpoint_best.pt')
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model = MultiSpeakerTTS(checkpoint['config'])
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model.load_state_dict(checkpoint['model_state_dict'])
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model.eval()
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# Generate
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tokenizer = AutoTokenizer.from_pretrained("miscovery/tokenizer_v3")
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text = "Your text here"
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tokens = tokenizer.encode(text)
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# ... inference code ...
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```
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## Speaker Mapping
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{
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"mahmoud": 0
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}
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