Voice model packs for the Lectus offline book reader (iOS / Android).
Files are downloaded by the app on demand; nothing here is meant to be
used standalone, but feel free.
Derived from
vosk-model-tts-ru-0.9-multi
by Alpha Cephei (Apache 2.0). 5 speakers (3 female, 2 male), 22050 Hz,
multistream VITS conditioned on a BERT prosody encoder.
Changes vs upstream: int8 quantization of the BERT encoder and a
mechanical dictionary format conversion. Model weights and voices are
otherwise untouched.
Unmodified subset of
kokoro-multi-lang-v1_0
packaged by k2-fsa from
hexgrad/Kokoro-82M
(Apache 2.0). 53 speakers, 24000 Hz; the app uses the English (US/GB),
French (ff_siwis) and Spanish (ef_dora, em_alex) voices via sherpa-onnx.
Chinese lexicons/FSTs from the original package are omitted; espeak-ng-data
ships inside the app bundle instead.
fp32 deliberately: dynamic int8 cuts size to 114 MB but ConvInteger makes
CPU inference ~4x slower (RTF 0.66 vs 0.16) with audible quality loss.
Derived from
patriotyk/styletts2_ukrainian_multispeaker
(MIT) and the
styletts2-ukrainian space.
31 speakers, 24000 Hz, deterministic StyleTTS2 (no diffusion at inference).
