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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add Pocket TTS speaker using sherpa-onnx voice cloning - Remove Piper and macOS Speech Synthesis backends - Verify archive hashes before extracting model downloads - Add WAV decoder bounds checking for malformed files - Add Application.Close() to release TTS C resources on shutdown - Deduplicate model setup logic in CLI entrypoint - Use named constants for model filenames instead of positional indices - Handle unexpected model verification errors (e.g. permission denied) - Use "Magic" callsign in integration tests for better TTS recognition Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add a new integration-test job that downloads both Parakeet and Pocket TTS models and runs the TTS→STT round-trip tests. Gate release and push-images jobs on integration tests passing. Fix model download paths in all build jobs from models/parakeet to models so download-models correctly creates both parakeet/ and pocket/ subdirectories, including Pocket TTS models in release archives. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Suppress gosec false positives: - G101 on model file SHA256 hashes (not credentials) - G115 on uint16→int16 PCM sample reinterpretation Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
… tests advisory Add digit homophone substitutions (won→1, to/too→2, free/tree→3, for/fore→4, ate→8, niner→9, tutu→22) and ordinal suffix stripping (5th→5) to ParsePilotCallsign. Deduplicate consecutive repeated words to handle STT stutter (e.g. "eagle eagle 2 7" → "eagle 2 7"). Truncate callsign text at "request" instead of just removing the word. Add comprehensive unit tests for homophones, ordinals, and stutter deduplication. Add integration round trip test covering all 81 two-digit callsign combinations (1-1 through 9-9). Make CI integration tests advisory (continue-on-error) and run them only after lint and unit tests pass, since TTS→STT round trips are inherently nondeterministic. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Split model version metadata (URLs, hashes, filenames) into dedicated version.go files so the CI cache key only changes when the actual model version changes, not when download logic is modified. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…n integration tests Add new bogey dope misrecognitions (bodidoda, bougie, vogie, wajidoke) to the replacements LUT. Extract callsign similarity threshold to an exported constant and update integration tests to snap parsed callsigns to the closest candidate using edit distance, mirroring the real application's radar database behavior. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add "dody dot" and "ody do" to the bogey dope replacements LUT. Rewrite TestRoundTripCallsignNumbers to use a probabilistic approach with multiple callsign words (Eagle, Mobius, Wardog), request phrasings, and a multi-flight candidate list, requiring >99% success rate instead of 100% to account for inherent TTS→STT lossyness. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Set GitHub Actions job timeout to 60 minutes and Go test timeout to 45 minutes to allow the probabilistic callsign round-trip tests to complete. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Use a worker pool (NumCPU/2 goroutines) with independent TTS/STT pipelines to run integration test permutations concurrently, reducing wall-clock time from ~10m to ~2m. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add replacements for bodhi, bojy, boy do, boyido, budgie, moji, ogie, og da, vaughi, vogee, voji with parser unit tests. Rework integration test to sample 40 random callsigns (20 common, 20 random) and repeat to 500+ inputs for statistical sensitivity. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Replace Piper TTS (Windows/Linux) and macOS Speech Synthesis with Pocket TTS via sherpa-onnx.
Closes #635
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