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- convert_breath_to_gguf.py: export ep_threshold to GGUF metadata and auto-detect model name for single ONNX models - breath: load head.ep and ep_threshold, extract EP segments when requested while preserving v5 compatibility - phone_input: allow folding EP segments into phone tier - cli: add --ep option to breathe subcommand for EP tier and diagnosis - tests: add test for EP segment insertion - ui: add optional checkbox toggle for EP annotation in the Breath panel
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This was referenced Oct 4, 2026
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Summary
This PR introduces support for the BreathLab v6 model, which adds an EP (exhale) detection head alongside the existing AP (audible breath) and SP (silence/pause) heads.
EP annotation is implemented as an opt-in feature (via the
--epCLI flag and a dedicated UI checkbox toggle), maintaining full backward compatibility with BreathLab v5 models and existing workflows.The BreathLab v6 ONNX checkpoint and metadata files can be obtained here:
👉 https://github.com/Xiantaidu/BreathLab/releases/tag/v1.0.0
Changes
GGUF Conversion (
scripts/convert_breath_to_gguf.py):breath.postprocess.ep_thresholdto GGUF post-processing metadata.--nameoptional with automatic detection when--model-dircontains a single.onnxfile (ormodel.onnx).Inference Engine (
src/breath/):breath.head.epandbreath.postprocess.ep_thresholdfrom GGUF.BreathModel::runandBreathModel::probabilities."EP") when requested.Phone Merger & CLI (
src/cli/):"EP"to recognized breath labels inmerge_breath_into_phonesandis_breath_label.--epoption totifa_ggml_cli breathe:"EP"tier in TextGrid output."ep"list in JSON diagnosis.--mergeis specified.UI (
ui/):--epto CLI invocation when checked.Tests:
BreatheMerge.InsertsExhaleSegmentsWhenPresentintests/test_breathe_merge.cpp.Verification
v6_ep_onnxto GGUF (FP16 & FP32) withconvert_breath_to_gguf.py.--epis omitted).--ep.