| | --- |
| | title: VoiceDemo |
| | emoji: π€ |
| | colorFrom: blue |
| | colorTo: purple |
| | sdk: gradio |
| | sdk_version: 6.4.0 |
| | app_file: app.py |
| | pinned: false |
| | --- |
| | |
| | # Microsoft SpeechT5 Text-to-Speech Demo |
| |
|
| | A HuggingFace Space demo showcasing the Microsoft SpeechT5 text-to-speech model. |
| |
|
| | ## π― Features |
| |
|
| | - **High-quality speech synthesis**: Convert text to natural-sounding speech |
| | - **Multi-language support**: Supports both English and Chinese text |
| | - **Real-time generation**: Fast and efficient speech generation |
| | - **User-friendly interface**: Simple Gradio-based web interface |
| |
|
| | ## π Usage |
| |
|
| | 1. Enter your text in the input box |
| | 2. Click "Generate Speech" or press Enter |
| | 3. Listen to the generated audio |
| | 4. Download the audio file if desired |
| |
|
| | ## π‘ Examples |
| |
|
| | Try these example texts: |
| | - "Hello, welcome to the Microsoft SpeechT5 text-to-speech demo!" |
| | - "The quick brown fox jumps over the lazy dog." |
| | - "δ»ε€©ε€©ζ°ηε₯½οΌιεεΊε»ζ£ζ₯γ" |
| |
|
| | ## π§ Technical Details |
| |
|
| | - **Model**: Microsoft SpeechT5 |
| | - **Framework**: PyTorch + Transformers |
| | - **Interface**: Gradio |
| | - **Sample Rate**: 16kHz |
| |
|
| | ## π¦ Dependencies |
| |
|
| | See `requirements.txt` for complete dependency list. |
| |
|
| | --- |
| |
|
| | Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
| |
|