Kazeia Team
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10a3904d7d
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Multi-segment TTS for long text: split → generate → concatenate
- prepare_tts_segments.py: splits text at sentence boundaries,
generates Python pre-computed embeds per segment
- Kotlin: detects multi-segment file format, processes each segment
independently (fresh KV cache), concatenates audio
- Long text tested: 3 segments, 335 tokens, 26.8s audio, RTF 1.67
File format: n_segments, then per segment: nPrefill, nTotal, embeds[]
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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2026-04-09 14:34:05 +02:00 |
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Kazeia Team
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f6df1738c5
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Add prepare_tts_embeds.py for any text + codec_sum fix
- 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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2026-04-09 14:05:42 +02:00 |