Deniz Şafak 5432de7ac5 fix(segmentation): process TTS segments per sentence, fix all subtitle modes ...

Sentence modes processed all text as a whole: Pipeline.__call__ merged every
engine segment back into one (whole text, no per-token timings), producing a
single giant subtitle and whole-text progress logs.

- tts_plugin/types: add TokenTiming, AudioSegment, SynthesizedAudio.segments
- tts_plugin/utils: Pipeline yields one Segment per engine segment (with
  tokens); merged fallback only when engine provides none
- kokoro engine: expose per-segment graphemes/audio + per-word token timings
- supertonic engine: expose per-segment graphemes/audio (no tokens)
- split_pattern: English Sentence/Sentence+Comma engine split is newline-only
  (boundaries applied at subtitle time via spaCy); non-English Sentence+Comma
  with spaCy ON uses spaCy pre-segmentation + newline engine split (no
  commas); spaCy-off fallback keeps comma pattern
- tts_segments: restore inter-segment whitespace on real per-word token
  boundaries only (never FakeToken fallbacks)
- _to_language_enum: accept Language enum input (str(enum) is "Language.ES",
  silently resolved to EN_US and disabled spaCy pre-TTS for every language
  in WebUI)
- pyqt/conversion, utils: replace print with logging
- add AGENTS.md documenting the segmentation/subtitle contract for future
  sessions
- tests: update English split-pattern expectations (1566 passing)

2026-08-20 23:00:15 +03:00

..

__init__.py

refactor: unify Language enum across all layers

2026-07-27 07:36:36 +00:00

engine.py

fix(segmentation): process TTS segments per sentence, fix all subtitle modes

2026-08-20 23:00:15 +03:00