- prepare_tts_embeds.py: generates pre-computed embeddings from any text
via Python generate_voice_clone, capturing talker inputs
- C++ pipeline: always build codec_sum + trailing (not as-is)
- maxTokens: 4× trailing count (audio >> text tokens)
- Long text tested: 224 Python tokens → 125 NPU tokens (10s audio)
- Text-only embeds don't work (model needs Python pre-computed codec_sum)
Usage: python3 scripts/prepare_tts_embeds.py "Your text" output.bin
adb push output.bin /data/local/tmp/.../full_pipeline_embeds.bin
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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|---|---|---|
| .. | ||
| app | ||
| gradle/wrapper | ||
| COMPILE_WHISPER_NPU.md | ||
| RAPPORT_TTS_NPU.md | ||
| RAPPORT_TTS_QWEN3_TESTS.md | ||
| build.gradle.kts | ||
| gradle.properties | ||
| gradlew | ||
| gradlew.bat | ||
| settings.gradle.kts | ||