Cloud TTS Chirp3-HD with Caching: Fixing Voice Readout for Accessibility

Short summary

A solo developer implemented Cloud TTS Chirp3-HD with GCS caching to enable voice readout of AI chat responses for accessibility. After comparing neural TTS engines by latency and naturalness, they chose Chirp3-HD (2-second generation) over Vertex AI (7-19s) and Neural2 (0.5s but robotic). The implementation includes text cleaning for code/tables, cache hits/misses tracking, daily cost caps (~$30/1M chars), and a lesson on asyncpg date handling across time zones.

• •Implemented Cloud TTS Chirp3-HD with GCS caching for accessible voice readout
• •Evaluated multiple neural TTS engines; selected Chirp3-HD for speed/naturalness balance
• •Included text preprocessing, quota tracking, and asyncpg date-handling best practices

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