WhisperSpeech
MITWhisper, but inverted — TTS by 'unwrapping' OpenAI's ASR
WhisperSpeech, from Collabora, flips OpenAI's Whisper architecture around to generate speech instead of transcribing it. It's trained entirely on properly licensed open data — a deliberately transparent, commercially safe stack — with voice cloning from reference audio.
Best for: Whisper, but inverted — TTS by 'unwrapping' OpenAI's ASR
Permissive model license: The official repository and published checkpoint collection declare MIT. Pin the selected semantic/acoustic checkpoint pair; check the vocoder and added speaker references separately.
Code: MIT. Weights: MIT (collabora/whisperspeech). License sources checked 2026-09-20. Source 1Source 2Source 3
Before you choose: Compare the samples with your own use case. Check the linked documentation for code, weight, and voice license terms.
Details awaiting a fresh review. Hardware figures are estimates unless a benchmark is linked.
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Voices
1 voiceThe scripts
Run WhisperSpeech
pip install whisperspeechSources & setup details
WhisperSpeech FAQ
Do I need a GPU to run WhisperSpeech?
The directory lists roughly 6 GB of VRAM as a historical estimate. Check the model documentation for your checkpoint and runtime.
Can WhisperSpeech clone voices?
Yes — WhisperSpeech supports voice cloning from reference audio.
What license is WhisperSpeech released under?
WhisperSpeech is released under the MIT license. Always check the repository for the exact terms — some models license code and weights separately.
What languages does WhisperSpeech support?
WhisperSpeech supports English, Polish.
Is there a hosted WhisperSpeech API?
OpenSpeech Cloud is accepting production-access interest for WhisperSpeech, but this model is not currently hosted in Cloud. Use the official repository for current deployment options.