After listening to the 10-voice comparison MP3 sent on 2026-05-20, the
user picked voices 4 / 6 / 7 as their favourites. They are now first-class
presets alongside F1..F5 / M1..M5 and can be used directly:
wav = pipe.generate("Bonjour", voice="voix_sombre", lang="fr")
wav = pipe.generate("Bonjour", voice="homme_moyen", lang="fr")
wav = pipe.generate("Bonjour", voice="homme_clair", lang="fr")
Blends (created via Pipeline.create_voice with slerp):
voix_sombre F4 60 % + M3 40 % androgyne sombre, velouté et grave
homme_moyen {M1, M2, M3, M4, M5} equal weight masculin standard
homme_clair M1 50 % + M5 50 % masculin brillant, expressif
Same JSON schema as the upstream Supertone presets (style_ttl 1×50×256,
style_dp 1×8×16, both float32, metadata block recording the blend
recipe so the file is self-describing).
a3f44d0661