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They're pretty fundamental. speech to text networks like DeepSpeech convert audio to an MFCC power spectrogram. Others use an Stft magnitude spectrogram. It's
by dijksterhuis 6y ago
They're pretty fundamental. speech to text networks like DeepSpeech convert audio to an MFCC power spectrogram. Others use an Stft magnitude spectrogram.
It's a 2-d (amplitude by Freq and time) representation of something that's usually 1-d (amplitude over time).
I think some networks have tried using the discrete wavelet transform too,but that's outside my knowledge area.
- dpflan 6y agoThanks for the explanation. I've checked out your HN profile and then SoundCloud: are many of the tracks you've posted generating as part of your research into "adversarial audio examples"?
- dijksterhuis 6y agoSorry, I just saw this. Ha, noooo. I own a bunch of synths and samplers and noodle about for fun. Although I haven't played with them much recently. I've gotten all super serious @_@ People do have to host their adversarial examples somewhere when publishing their research, not sure why no one has used SoundCloud yet... Odd.