| # my_vits_model | |
| ## Model Description | |
| A VITS-based TTS model for English speech synthesis | |
| - **Language(s)**: English | |
| - **Type**: Single-speaker Text-to-Speech | |
| - **Model Type**: VITS | |
| - **Framework**: Coqui TTS | |
| - **Uploaded**: 2025-05-29 | |
| ## Intended Use | |
| - **Primary Use**: Generating single-speaker speech from text input for applications like virtual assistants, audiobooks, or accessibility tools. | |
| - **Out of Scope**: Real-time applications if not optimized for low latency. | |
| ## Usage | |
| To load and use the model: | |
| ```python | |
| from safetensors.torch import load_file | |
| from TTS.config import load_config | |
| from TTS.tts.models import setup_model | |
| # Load configuration | |
| config = load_config("config.json") | |
| model = setup_model(config) | |
| # Load weights | |
| state_dict = load_file("my_vits_model.safetensors") | |
| model.load_state_dict(state_dict) | |
| model.eval() | |
| # Example inference | |
| text = "Hello, this is a test." | |
| wav = model.inference(text, speaker_id=0 if False else None) | |
| ``` | |
| ## Training Data | |
| - **Dataset**: Custom dataset | |
| - **Preprocessing**: Text normalized, audio sampled at 22050 Hz | |
| ## Evaluation | |
| - **Metrics**: [Add metrics, e.g., Mean Opinion Score (MOS), Word Error Rate (WER)] | |
| - **Results**: [Add results, e.g., "Achieved MOS of 4.2 on test set"] | |
| ## Limitations | |
| - Limited to English language(s). | |
| - Performance may vary with noisy or complex input text. | |
| - | |
| ## License | |
| - Released under apache-2.0. | |
| ## Ethical Considerations | |
| - Ensure responsible use to avoid generating misleading or harmful audio content. | |
| - Verify input text to prevent biased or offensive outputs. | |
| ## Dependencies | |
| - `TTS` (Coqui TTS) | |
| - `safetensors` | |
| - `torch` | |