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README.md
CHANGED
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@@ -48,9 +48,12 @@ This is not a training checkpoint meant to be unpacked and rebuilt from ingredie
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- Voice selection by name
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- Emotion selection by name
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- Fuzzy matching for names
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- Optional reference-audio overrides
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- Packed voices and emotions inside one artifact
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- CLI usage for quick testing
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## Requirements
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@@ -80,7 +83,7 @@ If you are using the Hugging Face repo, download the bundle and place it next to
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python PackedTTS.py --bundle tts.pt --list
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```
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### 4) Generate speech
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```bash
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python PackedTTS.py \
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--output output.wav
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```
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-
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```bash
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python PackedTTS.py \
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--bundle tts.pt \
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--text "
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--voice-ref path/to/voice_reference.wav \
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--emo-ref path/to/emotion_reference.wav \
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--output output.wav
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```
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## Python usage
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```python
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from pathlib import Path
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import soundfile as sf
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@@ -128,6 +278,158 @@ sf.write("output.wav", audio, sr)
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print(meta)
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```
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## How it works
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PackedTTS restores the full runtime bundle and then runs synthesis in three stages:
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* The bundle stores named voices and emotions.
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* A voice can be selected by name or replaced with reference audio.
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* An emotion can be selected by name or replaced with reference audio.
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2. **Build conditionals**
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The result is a single packed synthesis workflow that does not require rebuilding the voice/emotion registry at runtime.
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## Expected file behavior
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The script expects the bundle to contain:
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If a voice or emotion is not found by exact name, PackedTTS will try normalized matching and then fuzzy matching.
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## Example command-line options
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* `--bundle` — path to `tts.pt`
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* `--output` — output WAV path
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* `--list` — print packed voices and emotions
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## Notes
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* This repo is meant for inference and testing.
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* If the underlying model architecture, tokenizer, or conditioning schema changes, rebuild `tts.pt`.
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* Voice and emotion names depend on the bundle version.
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## Hugging Face usage
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This repo is designed to work well as a Hugging Face model repository and as a Hugging Face Space backend:
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* the runtime can load `PackedTTS.py`
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* users can generate speech without rebuilding the bundle
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## Credits
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Built on top of:
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- Voice selection by name
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- Emotion selection by name
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- Fuzzy matching for names
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+
- Default voice and emotion fallback
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- Optional reference-audio overrides
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- Packed voices and emotions inside one artifact
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- CLI usage for quick testing
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- Python API usage
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- Hugging Face Space friendly
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## Requirements
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python PackedTTS.py --bundle tts.pt --list
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```
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### 4) Generate speech with an explicit voice and emotion
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```bash
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python PackedTTS.py \
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--output output.wav
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```
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---
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## Command-line examples
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### List mode
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Print all packed voices and emotions without generating audio:
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```bash
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python PackedTTS.py --bundle tts.pt --list
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```
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### Basic generation
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Generate speech with explicit voice and emotion:
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```bash
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python PackedTTS.py \
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--bundle tts.pt \
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--text "This is a normal synthesis test." \
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--voice "Sarah" \
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--emotion "Disgust" \
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--output output.wav
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```
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### Voice only
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Let the bundle choose the emotion from the packed voice defaults or fallback rules:
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```bash
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python PackedTTS.py \
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--bundle tts.pt \
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--text "This is voice-only generation." \
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--voice "Sarah" \
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--output output.wav
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```
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### Emotion only
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Let the bundle choose a default or fallback voice while forcing an emotion:
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```bash
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python PackedTTS.py \
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--bundle tts.pt \
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--text "This is emotion-only generation." \
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--emotion "Happy" \
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--output output.wav
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```
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### No voice and no emotion
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Use the bundle defaults or random fallback selection:
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```bash
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python PackedTTS.py \
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--bundle tts.pt \
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--text "This uses the bundle defaults." \
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--output output.wav
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```
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### Custom sampling parameters
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Adjust guidance, temperature, and style strength:
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```bash
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python PackedTTS.py \
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--bundle tts.pt \
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--text "More expressive speech with custom sampling." \
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--voice "Sarah" \
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--emotion "Angry" \
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--cfg-weight 0.7 \
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--temperature 0.9 \
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--exaggeration 0.6 \
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--seed 123 \
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--output output.wav
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```
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### Different output path
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Write the result anywhere you want:
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```bash
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python PackedTTS.py \
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--bundle tts.pt \
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--text "Saving to a custom file." \
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--voice "Sarah" \
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--emotion "Calm" \
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--output results/custom_output.wav
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```
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### Fuzzy matching for names
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If the voice or emotion name is close but not exact, PackedTTS will try normalized matching and then fuzzy matching.
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Example:
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```bash
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python PackedTTS.py \
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--bundle tts.pt \
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--text "This uses fuzzy matching." \
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--voice "sara" \
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--emotion "angr" \
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--output output.wav
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```
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### Reference voice override
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Use a reference voice file instead of a packed voice:
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```bash
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python PackedTTS.py \
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--bundle tts.pt \
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--text "This voice comes from reference audio." \
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--voice-ref path/to/voice_reference.wav \
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--output output.wav
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```
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### Reference emotion override
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Use a reference emotion file instead of a packed emotion:
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```bash
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python PackedTTS.py \
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--bundle tts.pt \
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--text "This emotion comes from reference audio." \
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--emo-ref path/to/emotion_reference.wav \
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--output output.wav
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```
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### Both reference overrides
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Override both the voice and emotion with reference audio:
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```bash
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python PackedTTS.py \
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--bundle tts.pt \
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--text "Both voice and emotion are driven by reference audio." \
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--voice-ref path/to/voice_reference.wav \
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--emo-ref path/to/emotion_reference.wav \
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--output output.wav
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```
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### Seeded generation
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Use a fixed seed to make results more repeatable:
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```bash
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python PackedTTS.py \
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--bundle tts.pt \
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--text "Seeded generation example." \
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--voice "Sarah" \
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--emotion "Disgust" \
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--seed 42 \
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--output output.wav
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```
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---
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## Python usage
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### Basic API usage
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```python
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from pathlib import Path
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import soundfile as sf
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print(meta)
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```
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### Python usage with defaults
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Let the model choose the default voice and emotion:
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```python
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from pathlib import Path
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import soundfile as sf
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from PackedTTS import PackedTTS
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tts = PackedTTS.load(Path("tts.pt"))
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sr, audio, meta = tts.generate(
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text="This uses the bundle defaults.",
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seed=7,
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)
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sf.write("default_output.wav", audio, sr)
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print(meta)
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```
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### Python usage with voice only
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+
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```python
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from pathlib import Path
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import soundfile as sf
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| 307 |
+
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from PackedTTS import PackedTTS
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+
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tts = PackedTTS.load(Path("tts.pt"))
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sr, audio, meta = tts.generate(
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text="Voice selected, emotion resolved by the bundle.",
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voice="Sarah",
|
| 315 |
+
seed=12,
|
| 316 |
+
)
|
| 317 |
+
|
| 318 |
+
sf.write("voice_only.wav", audio, sr)
|
| 319 |
+
print(meta)
|
| 320 |
+
```
|
| 321 |
+
|
| 322 |
+
### Python usage with emotion only
|
| 323 |
+
|
| 324 |
+
```python
|
| 325 |
+
from pathlib import Path
|
| 326 |
+
import soundfile as sf
|
| 327 |
+
|
| 328 |
+
from PackedTTS import PackedTTS
|
| 329 |
+
|
| 330 |
+
tts = PackedTTS.load(Path("tts.pt"))
|
| 331 |
+
|
| 332 |
+
sr, audio, meta = tts.generate(
|
| 333 |
+
text="Emotion selected, voice resolved by the bundle.",
|
| 334 |
+
emotion="Happy",
|
| 335 |
+
seed=12,
|
| 336 |
+
)
|
| 337 |
+
|
| 338 |
+
sf.write("emotion_only.wav", audio, sr)
|
| 339 |
+
print(meta)
|
| 340 |
+
```
|
| 341 |
+
|
| 342 |
+
### Python usage with reference voice override
|
| 343 |
+
|
| 344 |
+
```python
|
| 345 |
+
from pathlib import Path
|
| 346 |
+
import soundfile as sf
|
| 347 |
+
|
| 348 |
+
from PackedTTS import PackedTTS
|
| 349 |
+
|
| 350 |
+
tts = PackedTTS.load(Path("tts.pt"))
|
| 351 |
+
|
| 352 |
+
sr, audio, meta = tts.generate(
|
| 353 |
+
text="This uses voice reference audio.",
|
| 354 |
+
voice_ref="path/to/voice_reference.wav",
|
| 355 |
+
emotion="Calm",
|
| 356 |
+
seed=42,
|
| 357 |
+
)
|
| 358 |
+
|
| 359 |
+
sf.write("voice_ref_output.wav", audio, sr)
|
| 360 |
+
print(meta)
|
| 361 |
+
```
|
| 362 |
+
|
| 363 |
+
### Python usage with reference emotion override
|
| 364 |
+
|
| 365 |
+
```python
|
| 366 |
+
from pathlib import Path
|
| 367 |
+
import soundfile as sf
|
| 368 |
+
|
| 369 |
+
from PackedTTS import PackedTTS
|
| 370 |
+
|
| 371 |
+
tts = PackedTTS.load(Path("tts.pt"))
|
| 372 |
+
|
| 373 |
+
sr, audio, meta = tts.generate(
|
| 374 |
+
text="This uses emotion reference audio.",
|
| 375 |
+
voice="Sarah",
|
| 376 |
+
emo_ref="path/to/emotion_reference.wav",
|
| 377 |
+
seed=42,
|
| 378 |
+
)
|
| 379 |
+
|
| 380 |
+
sf.write("emo_ref_output.wav", audio, sr)
|
| 381 |
+
print(meta)
|
| 382 |
+
```
|
| 383 |
+
|
| 384 |
+
### Python usage with both reference overrides
|
| 385 |
+
|
| 386 |
+
```python
|
| 387 |
+
from pathlib import Path
|
| 388 |
+
import soundfile as sf
|
| 389 |
+
|
| 390 |
+
from PackedTTS import PackedTTS
|
| 391 |
+
|
| 392 |
+
tts = PackedTTS.load(Path("tts.pt"))
|
| 393 |
+
|
| 394 |
+
sr, audio, meta = tts.generate(
|
| 395 |
+
text="This uses both reference audio inputs.",
|
| 396 |
+
voice_ref="path/to/voice_reference.wav",
|
| 397 |
+
emo_ref="path/to/emotion_reference.wav",
|
| 398 |
+
seed=42,
|
| 399 |
+
)
|
| 400 |
+
|
| 401 |
+
sf.write("both_refs_output.wav", audio, sr)
|
| 402 |
+
print(meta)
|
| 403 |
+
```
|
| 404 |
+
|
| 405 |
+
### Python usage through the `forward` alias
|
| 406 |
+
|
| 407 |
+
`forward` is an alias for `generate`, so the model can be used like a callable runtime component:
|
| 408 |
+
|
| 409 |
+
```python
|
| 410 |
+
from pathlib import Path
|
| 411 |
+
import soundfile as sf
|
| 412 |
+
|
| 413 |
+
from PackedTTS import PackedTTS
|
| 414 |
+
|
| 415 |
+
tts = PackedTTS.load(Path("tts.pt"))
|
| 416 |
+
|
| 417 |
+
sr, audio, meta = tts.forward(
|
| 418 |
+
text="This uses the forward alias.",
|
| 419 |
+
voice="Sarah",
|
| 420 |
+
emotion="Disgust",
|
| 421 |
+
cfg_weight=0.5,
|
| 422 |
+
temperature=0.8,
|
| 423 |
+
exaggeration=0.5,
|
| 424 |
+
seed=42,
|
| 425 |
+
)
|
| 426 |
+
|
| 427 |
+
sf.write("forward_output.wav", audio, sr)
|
| 428 |
+
print(meta)
|
| 429 |
+
```
|
| 430 |
+
|
| 431 |
+
---
|
| 432 |
+
|
| 433 |
## How it works
|
| 434 |
|
| 435 |
PackedTTS restores the full runtime bundle and then runs synthesis in three stages:
|
|
|
|
| 439 |
* The bundle stores named voices and emotions.
|
| 440 |
* A voice can be selected by name or replaced with reference audio.
|
| 441 |
* An emotion can be selected by name or replaced with reference audio.
|
| 442 |
+
* If exact matching fails, the runtime tries normalized matching and then fuzzy matching.
|
| 443 |
|
| 444 |
2. **Build conditionals**
|
| 445 |
|
|
|
|
| 455 |
|
| 456 |
The result is a single packed synthesis workflow that does not require rebuilding the voice/emotion registry at runtime.
|
| 457 |
|
| 458 |
+
---
|
| 459 |
+
|
| 460 |
## Expected file behavior
|
| 461 |
|
| 462 |
The script expects the bundle to contain:
|
|
|
|
| 472 |
|
| 473 |
If a voice or emotion is not found by exact name, PackedTTS will try normalized matching and then fuzzy matching.
|
| 474 |
|
| 475 |
+
---
|
| 476 |
+
|
| 477 |
## Example command-line options
|
| 478 |
|
| 479 |
* `--bundle` — path to `tts.pt`
|
|
|
|
| 489 |
* `--output` — output WAV path
|
| 490 |
* `--list` — print packed voices and emotions
|
| 491 |
|
| 492 |
+
---
|
| 493 |
+
|
| 494 |
## Notes
|
| 495 |
|
| 496 |
* This repo is meant for inference and testing.
|
|
|
|
| 498 |
* If the underlying model architecture, tokenizer, or conditioning schema changes, rebuild `tts.pt`.
|
| 499 |
* Voice and emotion names depend on the bundle version.
|
| 500 |
|
| 501 |
+
---
|
| 502 |
+
|
| 503 |
## Hugging Face usage
|
| 504 |
|
| 505 |
This repo is designed to work well as a Hugging Face model repository and as a Hugging Face Space backend:
|
|
|
|
| 509 |
* the runtime can load `PackedTTS.py`
|
| 510 |
* users can generate speech without rebuilding the bundle
|
| 511 |
|
| 512 |
+
---
|
| 513 |
+
|
| 514 |
## Credits
|
| 515 |
|
| 516 |
Built on top of:
|