- BigVGAN: 8 threads (2757→1872ms), pre_conv/pre_transformer: 4 threads - Restored pre-computed embeds format (codec_sum+text from Python) - Text-only trailing embeds don't work: model needs codec_sum for EOS For long phrases, pre-computed embeds must be generated from Python. RTF 1.26 on short phrase. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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| .. | ||
| Module.java | ||
| cp_et_runner.cpp | ||
| cp_et_test_client.cpp | ||
| jni_layer_tts.cpp | ||
| tts_pipeline_jni.cpp | ||