e647911329
Key breakthrough: C++ pipeline loop using the SAME Method* instances
that Java loaded (via Module::method("forward")). This gives:
- Same QNN compiled graph → identical numerical results → no trembling
- C++ loop → no Java Tensor/EValue allocation overhead
- prepare_input_tensors + memcpy + Method::execute (like cp_et_runner)
Pipeline: talker ~20ms/step + CP ~44ms/step + decoder 2.8s = 7.3s for 4.64s
Added to executorch JNI:
- Module.nativeSetCpModule() — registers CP module for pipeline
- Module.nativeRunTtsPipeline(...) — runs full talker+CP loop in C++
- Updated executorch.jar with new native method declarations
From RTF 4.9 (start of session) to RTF 1.6 with impeccable audio quality.
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 | ||