Hello, i want more clarity about the data used in training and testing in audio recognition examples.
Currently I receive PCM audio samples, which I get after interfacing PDM microphone with nRF DK. Than I have created a python script to generate .wav files using the above PCM samples for listening audio.
So what type of data should I use in the audio examples to recognize audio ?
- Should I use the raw PCM data or can I directly pass the 2seconds .wav file to train and test ?
- Should I generate .wav files from the PCM data and use that .wav files to recognize voice by passing it to edge pulse using python script. If yes is there any script available to pass .wav file to edge impulse for testing.
- Should I get data from the generated .wav file (mentioned in 2nd option ) using the python scipy module.
Can anyone guide me, which data should I use to train and test.
Thanks in advance