sherpa-ncnn
Hint
During speech recognition, it does not need to access the Internet. Everyting is processed locally on your device.
We support using ncnn to replace PyTorch for neural network computation. The code is put in a separate repository sherpa-ncnn
sherpa-ncnn is self-contained and everything can be compiled from source.
Please refer to https://k2-fsa.github.io/icefall/model-export/export-ncnn.html for how to export models to ncnn format.
In the following, we describe how to build sherpa-ncnn for Linux, macOS, Windows, embedded systems, Android, and iOS.
Also, we show how to use it for speech recognition with pre-trained models.