Install requirements.txt dependencies via pip. On linux, it will require a
shared library for ALSA, and on other platforms it will require PortAudio.
Notes on the latter can be found on the PyAudio website.
Output live transcription for the default audio source using base.en with a 3
second period:
$ python interface.py
The transcribe method in cli.py and the file's __main__ behavior exactly
replicate the whisper repo's pre-existing behavior in transcribing an audio
file. The same goal can be achieved with interface.MinimalTranscriber, which
has the added benefit of limiting the amount of memory used by preloaded audio
data. It will perform almost exactly the same set of operations, with a small
(vanishing) difference in the preprocessing output. The log mel spectogram is
clamped below to have a maximum range of 8. The original transcribe method
computes the upper bound from the entire file's spectogram, while the memory
friendly version loads the audio data on-demand. Instead, the new transcription
method clamps the values relative to the maximum in the chunks processed so far.