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add text chunking for long-form generation (Fixes #4)

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ANLGBOY
2025-11-19 18:08:30 +09:00
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This guide provides examples for running TTS inference using `ExampleONNX.java`.
## 📰 Update News
**2025.11.19** - Added automatic text chunking for long-form inference. Long texts are split into chunks and synthesized with natural pauses.
## Installation
This project uses [Maven](https://maven.apache.org/) for dependency management.
@@ -35,7 +39,7 @@ This will use:
### Example 2: Batch Inference
Process multiple voice styles and texts at once:
```bash
mvn exec:java -Dexec.args="--voice-style assets/voice_styles/M1.json,assets/voice_styles/F1.json --text 'The sun sets behind the mountains, painting the sky in shades of pink and orange.|The weather is beautiful and sunny outside. A gentle breeze makes the air feel fresh and pleasant.'"
mvn exec:java -Dexec.args="--batch --voice-style assets/voice_styles/M1.json,assets/voice_styles/F1.json --text 'The sun sets behind the mountains, painting the sky in shades of pink and orange.|The weather is beautiful and sunny outside. A gentle breeze makes the air feel fresh and pleasant.'"
```
This will:
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- Use 10 denoising steps instead of the default 5
- Produce higher quality output at the cost of slower inference
**Note**: If your text contains apostrophes, use escaping or run the JAR directly:
### Example 4: Long-Form Inference
The system automatically chunks long texts into manageable segments, synthesizes each segment separately, and concatenates them with natural pauses (0.3 seconds by default) into a single audio file. This happens by default when you don't use the `--batch` flag:
```bash
mvn exec:java -Dexec.args="--voice-style assets/voice_styles/M1.json --text 'This is a very long text that will be automatically split into multiple chunks. The system will process each chunk separately and then concatenate them together with natural pauses between segments. This ensures that even very long texts can be processed efficiently while maintaining natural speech flow and avoiding memory issues.'"
```
This will:
- Automatically split the text into chunks based on paragraph and sentence boundaries
- Synthesize each chunk separately
- Add 0.3 seconds of silence between chunks for natural pauses
- Concatenate all chunks into a single audio file
**Note**: Automatic text chunking is disabled when using `--batch` mode. In batch mode, each text is processed as-is without chunking.
**Tip**: If your text contains apostrophes, use escaping or run the JAR directly:
```bash
java -jar target/tts-example.jar --total-step 10 --text "Text with apostrophe's here"
```
@@ -87,10 +106,12 @@ java -jar target/tts-example.jar --total-step 10 --text "Your custom text here"
| `--voice-style` | str+ | `assets/voice_styles/M1.json` | Voice style file path(s) |
| `--text` | str+ | (long default text) | Text(s) to synthesize |
| `--save-dir` | str | `results` | Output directory |
| `--batch` | flag | False | Enable batch mode (multiple text-style pairs, disables automatic chunking) |
## Notes
- **Batch Processing**: The number of `--voice-style` files must match the number of `--text` entries
- **Batch Processing**: When using `--batch`, the number of `--voice-style` files must match the number of `--text` entries
- **Automatic Chunking**: Without `--batch`, long texts are automatically split and concatenated with 0.3s pauses
- **Quality vs Speed**: Higher `--total-step` values produce better quality but take longer
- **GPU Support**: GPU mode is not supported yet
- **Voice Styles**: Uses pre-extracted voice style JSON files for fast inference