A small English text-to-speech model that you steer with numbers. Each request can set any subset of 12 acoustic controls, for example speaking rate, loudness, median pitch, pitch range, final rise or fall, pauses, spectral tilt and breathiness. Each control is a z-score relative to the chosen voice's own neutral speech. You can also pick a style tag, give a free-text direction (which a small adapter turns into a request you can inspect), or use inline markup. The model can clone a voice from a short reference clip. The CLI looks for the model in the current directory. From anywhere else, pass it before the command (steertts --model WhissleAI/steer-tts say "Hi." -o hi.wav) or set…
Organization · Verified on Hugging Face
WhissleAI
WhissleAI
Speech Processing, Behavior Understanding, Computational Media Intelligence
Models in Library1
Datasets in Library0
Models on Hugging Face18
Followers24
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Published tasks: Text to speech.
Reported licenses: cc-by-nc-4.0. Open a record to review its specific license and conditions.
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