# YazSes v2.8.0-dev.4 — Wave L continues (developer preview)

**Pre-release · not published** (publish workflows are pinned to `v0.x`/`v1.x`; v2 dev tags do
not ship). **v1.4.1 remains the stable release.** Every feature is **OFF by default**.

Continues **Wave L** (`design/vision/v2-research/14-wave-l.md`) with the robustness pair:

## New since dev.3 (all off by default)

- **Breath-Paced Dictation** (ADR-v2-099, `[breath]`) — uses your natural breath onsets as
  sentence/paragraph boundaries, so dictation chunks the way you actually breathe — even without
  silent pauses. `breath_envelope` + `detect_breath_onsets` (debounced) + `segment_by_breath`, all
  pure numpy. A different physiological signal than silence. Anchor: BreathPrint (MobiSys 2017).
- **Whisper-Aware Mode** (ADR-v2-100, `[whispermode]`) — detects when you drop to a whisper (no
  voicing, flat spectral tilt) and adapts gain, VAD threshold, and the STT prompt so quiet dictation
  stays accurate in shared or private spaces. `voicing_ratio` + `spectral_tilt` + `is_whispered` +
  `whisper_adaptation`, pure numpy DSP. Anchor: Ito et al. (ICASSP 2005); wTIMIT.

`yazses features` now lists **113 capabilities**.

## Wave L remaining
Mouth-Sound Switch Access · Involuntary-Vocalization Auto-Excision.

## Quality
1363 tests green across Linux × macOS × Windows on Python 3.11 and 3.12. Both new cores are
unit-tested to 100% with **no new dependency** (envelope/onset and voicing/tilt are pure numpy; the
STT-model hookup is the only downstream wiring). The default install and the v1 dictation path are
unchanged.