This library implements high-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model.
The library requires a hardware GPU which supports Direct3D 11.0, a 64-bit Windows OS, only works within 64-bit processes, and requires a 64 bit CPU which supports SSE 4.1.
The main entry point of the llibrary is Whisper.Library static class.
Call loadModel function from that class to load an ML model from a binary file.
These binary files are available for free download on Hugging Face.
I recommend ggml-medium.bin (1.42GB in size), because I’ve mostly tested the software with that model.
Once the model is loaded, create a context by calling createContext extension method,
then use that object to transcribe or translate multimedia files or realtime audio captured from microphones.