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aoiandroid/omnivoice_coreml
omnivoice_coreml is a machine learning model from aoiandroid. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Private artifact drop for on-device experiments. Upstream weights: k2-fsa/OmniVoice.
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From the Hugging Face model README
Private artifact drop for on-device experiments. Upstream weights: k2-fsa/OmniVoice.
| Path | Description |
|---|---|
OmniVoice_Vocoder.mlpackage | Higgs decode (discrete codes → waveform). |
OmniVoice_GeneratorStep.mlpackage | Real OmniVoice.forward logits (torch.export + coremltools). |
OmniVoice_AudioEncoder.mlpackage | Real Higgs encode (waveform → codes). |
OmniVoice_LM.mlpackage | Stub I/O only (not trained weights). |
OmniVoice_SpeakerEncoder.mlpackage | Stub placeholder. |
tokens.txt | Text tokenizer vocabulary for Swift. |
Export scripts live in the local project under Scripts/export_omnivoice_coreml/. See Docs/OmniVoice_CoreML_Contract.md for Swift vs Python I/O notes.
License: Follow the license terms of k2-fsa/OmniVoice and third-party components (Qwen3, Higgs, etc.). Do not redistribute if your use case is not permitted by those licenses.