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Kazeia Team 199bc4fbc9 Full native C++ TTS validated on short + long phrases 
Dynamic formula: target_len = n_tokens × 3.2 + 5 (calibrated)
- Short "Bonjour..." (18 tokens → 62 trailing): OK
- Long "Je suis Kazeia... difficiles" (30 tokens → 101 trailing): OK

RMS trim disabled (garbage is loud, can't distinguish from speech).
Length controlled purely by maxTokens = trailing count.

Pipeline: prepare_tts_native.py "any text" → adb push → run → audio

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 		2026-04-09 23:51:05 +02:00
..
cp_et_runner.cpp Initial commit: Kazeia TTS pipeline on NPU via ExecuTorch 2026-04-09 08:42:11 +02:00
export_cp_pte.py Initial commit: Kazeia TTS pipeline on NPU via ExecuTorch 2026-04-09 08:42:11 +02:00
export_talker_pte.py Restore KV=100 + fix as-is embeds + multi-segment support 2026-04-09 22:26:20 +02:00
prepare_tts_embeds.py Add prepare_tts_embeds.py for any text + codec_sum fix 2026-04-09 14:05:42 +02:00
prepare_tts_native.py Full native C++ TTS validated on short + long phrases 2026-04-09 23:51:05 +02:00
prepare_tts_segments.py Restore KV=100 + fix as-is embeds + multi-segment support 2026-04-09 22:26:20 +02:00
qc_schema_serialize_patched.py Initial commit: Kazeia TTS pipeline on NPU via ExecuTorch 2026-04-09 08:42:11 +02:00
test_cp_et_quality.py Initial commit: Kazeia TTS pipeline on NPU via ExecuTorch 2026-04-09 08:42:11 +02:00