Utpal Kumar

Utpal Kumar, PhD

Computational and Data Science Research Specialist at UC Berkeley building scalable seismic and structural monitoring systems, from real-time data pipelines to HPC inversion workflows.

RAG narration

RAG narration

Voice: Kokoro af_heart, speed 0.98, en-us. Approved article narration is 5:03.

Reproduce with kokoro-onnx==0.6.1, numpy, soundfile and ffmpeg. Download kokoro-v1.0.onnx (renamed kokoro.onnx) and voices-v1.0.bin (renamed voices.bin) from https://github.com/thewh1teagle/kokoro-onnx/releases/tag/model-files-v1.1 into this directory. Run render.py. Do not commit model binaries. The resulting rag-ai-agents-narration.mp3 is copied to kokoro-heart.mp3 for the site.

The timeline records actual 24 kHz synthesis boundaries. The renderer sets section gaps with 1.0 second before headings and 0.7 second after; paragraph gaps are 0.46 second and sentence gaps 0.16 second. MP3 normalization uses loudnorm I=-18, TP=-1.5, LRA=11. AI uses explicit /eɪ aɪ/ phonemes and RAG /ræɡ/, preserving visible spelling. References, metadata and teaser alt text are not spoken.

Run python _tests/post-audio-sync/check_rag_article.py –site-dir _site from the repository root after the production Jekyll build. CI also sweeps all schema-v2 recordings with real playback, source/audio fingerprints, seek, speed, responsive layouts and safe fallback. The article_text hash covers the complete rendered article; targets cover the exact approved narration.

Perceptual listening review is separate from technical checks and must be recorded before release.

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