Create README.md

README.md

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+# MeloTTS Model Checkpoint
+
+This repository contains trained model checkpoints for MeloTTS, a high-quality multi-lingual text-to-speech system. These checkpoints are part of a trained model that can be used for text-to-speech synthesis.
+
+## Model Details
+
+- **Model Type**: MeloTTS
+- **Language Support**: English (Default)
+- **Sampling Rate**: 44.1kHz
+- **Mel Channels**: 128
+- **Hidden Channels**: 192
+- **Filter Channels**: 768
+
+### Architecture Details
+- Inter channels: 192
+- Number of heads: 2
+- Number of layers: 6
+- Flow layers: 3
+- Kernel size: 3
+- Dropout rate: 0.1
+
+## Training Dataset
+
+This model was trained on the [Jenny TTS Dataset](https://huggingface.co/datasets/reach-vb/jenny_tts_dataset), which is available on Hugging Face. The dataset consists of high-quality English speech recordings suitable for text-to-speech training.
+
+## Model Files
+
+The repository contains several checkpoint files:
+- `DUR_*.pth`: Duration predictor checkpoints
+- `G_*.pth`: Generator model checkpoints
+- `D_*.pth`: Discriminator model checkpoints
+- `config.json`: Model configuration file
+
+## Usage
+
+To use this model with MeloTTS:
+
+```python
+from melo.api import TTS
+
+# Initialize TTS with the model path
+tts = TTS(model_path="kadirnar/melotts-model")
+
+# Generate speech
+tts.tts_to_file(
+    text="Your text here",
+    speaker="EN-default",
+    language="EN",
+    output_path="output.wav"
+)
+```
+
+## Training Details
+
+The model was trained with the following specifications:
+- Batch size: 6
+- Learning rate: 0.0003
+- Beta values: [0.8, 0.99]
+- Segment size: 16384
+
+## Original Repository
+
+This model is based on [MeloTTS](https://github.com/myshell-ai/MeloTTS) by MyShell.ai. Visit the original repository for more details about the architecture and implementation.
+
+## License
+
+This model follows the same licensing as the original MeloTTS repository (MIT License).