How does it compare to the more well established https://github.com/cjpais/handy? Are there any stand out features (for either option)? What was the reason for writing your own rather than using or improving existing software?
Not sure I know what you mean by IR...
But in this case I built hyprwhspr for Linux (Arch at first).
The goal was (is) the absolute best performance, in both accuracy & speed.
Python, via CUDA, on a NVIDIA GPU, is where that exists.
For example:
The #1 model on the ASR (automatic speech recognition) hugging face board is Cohere Transcribe and it is not yet 2 weeks old.
The ecosystem choices allowed me to hook it up in a night.
Other hardware types also work great on Linux due to its adaptability.
In short, the local stt peak is Linux/Wayland.
Not sure I know what you mean by IR...
But in this case I built hyprwhspr for Linux (Arch at first).
The goal was (is) the absolute best performance, in both accuracy & speed.
Python, via CUDA, on a NVIDIA GPU, is where that exists.
For example:
The #1 model on the ASR (automatic speech recognition) hugging face board is Cohere Transcribe and it is not yet 2 weeks old.
The ecosystem choices allowed me to hook it up in a night.
Other hardware types also work great on Linux due to its adaptability.
In short, the local stt peak is Linux/Wayland.