Thanks for that note. I have an audio classification hobby project (for now). Could you point me to things I should learn to get better at audio classification and generation?
Your comment about time domain making audio difficult - before doing some research I thought it would make it impossible. But looks like people have had some success with using spectrograms of short audio samples. What techniques should I try to learn to deal with the time component of audio?
One idea is to chop up the audio into short samples and treat the resulting images as a video. Then look at DL algorithms that deal with video. Am I on the right track?
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Thanks for that note. I have an audio classification hobby project (for now). Could you point me to things I should learn to get better at audio classification and generation?
Your comment about time domain making audio difficult - before doing some research I thought it would make it impossible. But looks like people have had some success with using spectrograms of short audio samples. What techniques should I try to learn to deal with the time component of audio?
One idea is to chop up the audio into short samples and treat the resulting images as a video. Then look at DL algorithms that deal with video. Am I on the right track?