The emotional TTS path applied a librosa post-hoc pitch_shift (±1–3 semitones)
on top of a 1.3x-fast Melo base, producing a robotic "monster" delivery. Zero
out the pitch column for every emotion so pitch_shift is never invoked (the
worker's _pitch_shift already no-ops on 0.0), and drop the default synthesis
speed to 1.0. Emotion is now conveyed by speed alone — natural, artefact-free.
The pitch column is retained so a proper pitch method can be re-enabled later.
Verified: 29 tests pass; real 2-emotion synthesis on CUDA yields a clean wav
with pitch=0.0 on all segments.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Emotion tags now steer delivery rather than being read aloud. parse_segments()
splits a reply on [감정] tags: a recognised emotion word switches the pitch and
speed of the text that follows (and is dropped), while a non-emotion bracket
(e.g. [1번]) keeps its inner words as spoken content. Emotions can change
mid-reply, so a single turn is synthesised as several pitch-shifted segments and
concatenated in the melo worker (librosa pitch_shift, warmed at startup).
The emotion vocabulary is grounded in Azure Neural TTS speaking styles plus
Ekman's basic emotions, with Korean synonyms. The brain persona is updated to
emit inline tags from that set.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
