Supertonic 3 (mirror) — for the arraypress speech tools
An unmodified mirror of Supertone/supertonic-3
at commit 3cadd1ee6394adea1bd021217a0e650ede09a323: the six ONNX/JSON files of the
pipeline (duration predictor, text encoder, vector estimator, vocoder, tokenizer config,
unicode indexer) and the ten voice styles (F1–F5, M1–M5), ~410 MB. It exists so the fleet's
swift-tts (and the speak / redub tools on it) download from a repository pinned and
controlled by the same people as the tools, rather than following another repo's main.
Every file matches the hash Supertone publishes (SHA-256 for the large files, git blob SHA-1 for the small ones). For the model itself — what it is, quality, languages — see Supertone's model card.
Licence and use restrictions
BigScience OpenRAIL-M (LICENSE). Using these files means accepting it, including the
use-based restrictions in Attachment A — among them: no use that violates law; no
exploiting or harming minors; no generating or disseminating verifiably false information
to harm others; no personally identifiable information to harm individuals; no
defamation or harassment; no fully automated decisions that adversely affect legal rights;
no discrimination; no medical advice or results interpretation; no use for administration
of justice or law enforcement in ways that adversely affect rights. Read Attachment A for
the full list. Anyone you share the model or a derivative with must be bound by the same
restrictions. Attribution: see NOTICE.
Model tree for arraypress/tts-supertonic-3
Base model
Supertone/supertonic-3
from supertonic import TTS tts = TTS(auto_download=True) style = tts.get_voice_style(voice_name="M1") text = "The train delay was announced at 4:45 PM on Wed, Apr 3, 2024 due to track maintenance." wav, duration = tts.synthesize(text, voice_style=style) tts.save_audio(wav, "output.wav")