# Piper TTS Integration Guide

This guide covers the Piper TTS engine integration, including installation, configuration, and usage.

## What is Piper TTS?

Piper is a fast, local neural text-to-speech system that runs entirely on your machine. It offers:

- **Fast synthesis**: Faster than Kokoro for most use cases
- **Pitch control**: Adjust voice pitch per character (-12 to +12 semitones)
- **Multiple voices**: Various English voices with different characteristics
- **Low resource usage**: Smaller models and lower memory footprint
- **Privacy**: All processing happens locally

## Installation

### Automated Installation (Recommended)

```bash
cd backend
./install_piper.sh
```

This script will:
1. Detect your OS and architecture
2. Download the appropriate Piper binary
3. Install it to `/usr/local/bin`
4. Verify the installation

### Manual Installation

1. Visit [Piper Releases](https://github.com/rhasspy/piper/releases/tag/v1.2.0)
2. Download the appropriate archive for your platform:
   - **Linux x86_64**: `piper_amd64.tar.gz`
   - **Linux ARM64**: `piper_arm64.tar.gz`
   - **macOS**: `piper_macos_x64.tar.gz`
3. Extract the archive
4. Copy the `piper` binary to a directory in your PATH

### Verify Installation

```bash
piper --version
```

You should see output like: `1.2.0`

## Available Voices

Piper supports multiple English voices:

| Voice ID | Language | Gender | Quality | Description |
|----------|----------|--------|---------|-------------|
| `en_US-lessac-medium` | US English | Male | Medium | Clear, neutral male voice |
| `en_US-libritts-high` | US English | Neutral | High | High-quality neutral voice |
| `en_US-amy-medium` | US English | Female | Medium | Clear female voice |
| `en_GB-alan-medium` | UK English | Male | Medium | British male voice |
| `en_GB-alba-medium` | UK English | Female | Medium | British female voice |

Voice models are automatically downloaded on first use (~10-50MB each).

## Configuration

### Set Piper as Default Engine

**Option 1: Environment Variable**
```bash
export TTS_ENGINE=piper
```

Add to your `.env` file:
```bash
TTS_ENGINE=piper
```

**Option 2: Runtime API Call**
```bash
curl -X POST http://localhost:8000/api/tts/engines \
  -H "Content-Type: application/json" \
  -d '{"engine": "piper"}'
```

### Voice Model Storage

Voice models are stored in:
```
backend/piper_models/
```

Models are downloaded automatically on first use. You can pre-download models manually if needed.

## Usage Examples

### Basic Text-to-Speech

```bash
curl -X POST http://localhost:8000/api/tts \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Hello, this is a test of Piper TTS.",
    "lang": "a",
    "roles": [
      {"id": "Narrator", "voice": "en_US-lessac-medium"}
    ],
    "speed": 1.0
  }' \
  --output test.wav
```

### Multi-Voice with Pitch Control

```bash
curl -X POST http://localhost:8000/api/tts \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Alice: Hello Bob!\nBob: Hi Alice, how are you?\nNarrator: They greeted each other warmly.",
    "lang": "a",
    "roles": [
      {"id": "Alice", "voice": "en_US-amy-medium"},
      {"id": "Bob", "voice": "en_US-lessac-medium"},
      {"id": "Narrator", "voice": "en_GB-alan-medium"}
    ],
    "speed": 1.0,
    "pitch_adjustments": [
      {"id": "Alice", "pitch": 4},
      {"id": "Bob", "pitch": -3},
      {"id": "Narrator", "pitch": 0}
    ]
  }' \
  --output audiobook.wav
```

### Pitch Adjustment Guidelines

Pitch is measured in semitones (half-steps on a musical scale):

- **+12 semitones**: One octave higher (very high-pitched)
- **+6 semitones**: Noticeably higher (child-like)
- **+3 semitones**: Slightly higher (feminine adjustment)
- **0 semitones**: Original voice (no change)
- **-3 semitones**: Slightly lower (masculine adjustment)
- **-6 semitones**: Noticeably lower (deep voice)
- **-12 semitones**: One octave lower (very deep)

**Recommended ranges:**
- Female characters: +2 to +5
- Male characters: -2 to -5
- Children: +5 to +8
- Elderly/deep voices: -4 to -8

## Python API Usage

```python
from services.unified_tts_service import UnifiedTTSService

# Initialize with Piper engine
tts = UnifiedTTSService(engine="piper")

# Generate audiobook with pitch control
audio_bytes = await tts.generate_audiobook(
    text="Alice: Hello!\nBob: Hi there!",
    lang="a",
    role_voice_map={
        "Alice": "en_US-amy-medium",
        "Bob": "en_US-lessac-medium"
    },
    speed=1.0,
    pitch_adjustments={
        "Alice": 3,
        "Bob": -2
    }
)

# Save to file
with open("output.wav", "wb") as f:
    f.write(audio_bytes)
```

## Performance Comparison

| Feature | Kokoro TTS | Piper TTS |
|---------|------------|-----------|
| Speed | Medium | Fast |
| Quality | High | Medium-High |
| Pitch Control | ❌ No | ✅ Yes |
| Model Size | ~500MB | ~10-50MB per voice |
| Memory Usage | Higher | Lower |
| Voice Variety | 10+ voices | 5+ voices (expandable) |
| Languages | 4 languages | English (more available) |

## Troubleshooting

### Piper Not Found

**Error:** `piper: command not found`

**Solution:**
```bash
# Check if piper is in PATH
which piper

# If not found, reinstall
./install_piper.sh

# Or add to PATH manually
export PATH="/usr/local/bin:$PATH"
```

### Voice Model Download Fails

**Error:** Model download timeout or failure

**Solution:**
1. Check internet connection
2. Manually download models from [Piper releases](https://github.com/rhasspy/piper/releases)
3. Place `.onnx` and `.onnx.json` files in `backend/piper_models/`

### Audio Quality Issues

**Problem:** Distorted or robotic audio

**Solutions:**
- Reduce pitch shift amount (stay within ±6 semitones)
- Try different voice models
- Adjust speed (try 0.9 or 1.1)
- Check for text formatting issues

### Synthesis Timeout

**Error:** Piper synthesis times out

**Solutions:**
- Break text into smaller chunks
- Increase timeout in `piper_tts_service.py`
- Check system resources (CPU, memory)

## Advanced Configuration

### Custom Voice Models

To add custom Piper voice models:

1. Download `.onnx` and `.onnx.json` files
2. Place in `backend/piper_models/`
3. Update `AVAILABLE_VOICES` in `piper_tts_service.py`:

```python
AVAILABLE_VOICES = {
    "en_US-custom-voice": {"lang": "en", "gender": "female", "quality": "high"},
    # ... existing voices
}
```

### Adjusting Audio Effects

Modify `_apply_audio_effects()` in `piper_tts_service.py` to customize:
- Pitch shifting algorithm
- Speed adjustment method
- Audio processing pipeline

## Best Practices

1. **Voice Selection**
   - Use distinct voices for different characters
   - Match voice gender to character when possible
   - Use British voices for variety

2. **Pitch Adjustments**
   - Start with small adjustments (±2-3 semitones)
   - Test and iterate to find natural-sounding values
   - Avoid extreme values (±10+) unless intentional

3. **Performance**
   - Pre-download voice models for faster first use
   - Cache generated audio when possible
   - Use appropriate chunk sizes for long texts

4. **Quality**
   - Use high-quality voice models when available
   - Adjust speed slightly (0.95-1.05) for more natural pacing
   - Combine with AI segmentation for best results

## Resources

- [Piper GitHub Repository](https://github.com/rhasspy/piper)
- [Piper Voice Samples](https://rhasspy.github.io/piper-samples/)
- [Voice Model Downloads](https://github.com/rhasspy/piper/releases/tag/v1.2.0)
- [Piper Documentation](https://github.com/rhasspy/piper/blob/master/README.md)

## License

Piper TTS is licensed under the MIT License.