![]() Other versions might not work with this Unity bindings. For iOS you can either triple tap the home button or activate Siri and. Clone the original whisper.cpp repository The hotkey for starting VoiceOver for all MacOS versions, since OS 10.5, is Command+F5.In case you want to build libraries on your machine: After pipeline completed, download compiled libraries in artifacts tab. To do that make fork of this repo and go into Actions => Build C++ => Run workflow. You can rebuild them from source using Github Actions. This project comes with prebuild libraries of whisper.cpp for all supported platforms. Just put them into your StreamingAssets folder.įor more information about models differences and formats read whisper.cpp readme and OpenAI readme. You can download model weights from here. For example, you can improve English language transcription by using English-only weights or by trying bigger models. You can try different Whisper model weights. It works by constantly recording audio in a thread and concatenating the raw bytes over multiple recordings. This should force package to use library compiled for Metal. This is a demo of real time speech to text with OpenAI's Whisper model. To activate Metal inference, go to Project Settings => Whisper => Enable Metal. Trying to run on older hardware will fallback to CPU inference. Whisper.cpp supports Metal only on Apple7 GPUs family or newer (starting from Apple M1 chips). ![]() This should force package to use library compiled for CUDA. To run inference with CUDA, you would need to have supported GPU and installed CUDA Toolkit (tested with 12.2.0).Īfter that go to the Project Settings => Whisper => Enable CUDA. Trying to run build without it will result error. Unity project compiled with enabled CUDA expects your end-users to have Nvidia GPU and CUDA libraries. Add it by this git URL to your Unity Package Manager: It comes with examples and tiny multilanguage model weights.Īlternatively you can add this repository to your project as a Unity Package. "whisper-tiny.bin" model, 50x faster than realtime on Macbook with M1 Pro Getting startedĬlone this repository and open it as regular Unity project. "whisper-small.bin" model tested in English, German and Russian from microphone tiny.mp4 Free and open source, can be used in commercial projects This is a demo of real time speech to text with OpenAIs Whisper model. ![]()
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