feat: implement PipecatSmartTurn backend#9
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wavekat-eason merged 7 commits intomainfrom Mar 28, 2026
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- build.rs: download smart-turn-v3.2-cpu.onnx at build time with
version caching and PIPECAT_SMARTTURN_MODEL_{PATH,URL} overrides
- src/onnx.rs: shared session_from_file / session_from_memory helpers
- src/audio/pipecat.rs: full implementation
- MelExtractor: Slaney mel filterbank, periodic Hann window, realfft STFT
- PipecatSmartTurn::new() (embedded model) and from_file(path)
- push_audio: 16 kHz ring buffer, 8s capacity, wrong-rate frames dropped
- predict: mel features → ONNX inference → TurnPrediction
- reset: clears ring buffer
- tests/pipecat.rs: 9 integration tests; RTF < 50ms enforced in release
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add StageTiming struct and stage_times field to TurnPrediction - Instrument predict() with three stages: audio_prep, mel, onnx - Incremental STFT: cache power spectrogram and shift on each call, recomputing only the ~50 new frames instead of all 801 (~16x faster) - Incremental mel filterbank: cache mel_spec and update only new columns, reducing matmul from [80×201]×[201×800] to [80×201]×[201×50] (~16x) - Invalidate caches on reset() Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Mar 28, 2026
## 🤖 New release * `wavekat-turn`: 0.0.3 -> 0.0.4 (✓ API compatible changes) <details><summary><i><b>Changelog</b></i></summary><p> <blockquote> ## [0.0.4](v0.0.3...v0.0.4) - 2026-03-28 ### Added - implement PipecatSmartTurn backend ([#9](#9)) </blockquote> </p></details> --- This PR was generated with [release-plz](https://github.com/release-plz/release-plz/). Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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Summary
PipecatSmartTurnturn detector using the Pipecat Smart Turn v3.2 ONNX model (int8 quantized, ~8 MB, ~12 ms CPU inference)build.rsto download the model at build time with version-aware caching; supportsPIPECAT_SMARTTURN_MODEL_PATHoverride and docs.rs no-network buildsonnx.rsTurnPredictionwithstage_times: Vec<StageTiming>for per-stage latency breakdownfrom_fileerror pathsTest plan
cargo test --features pipecat— unit and integration tests passPIPECAT_SMARTTURN_MODEL_PATHpointing to a local.onnxfile — skips downloadDOCS_RS=1— writes zero-byte placeholder, compiles without network🤖 Generated with Claude Code