Music Reviews + Audio Analysis | FERM Factor LIVE

Описание: More than a music review show... we utilize DATA
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For each track played, as I react and give feedback, I clip approx. 30 seconds and run it through my custom analysis software. It uses advanced algorithms and AI models to determine key stats in your song; spectral + spatial data, loudness, and genre/subgenre tagging. None of your song data will be used to train any generative AI models. All algorithms used are pretrained "frozen" models that just analyze and return the data, which my program then visualizes.

Enter the FERM world:
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Why should you care what I think about your music? You shouldn't, but you can always learn from other's perspectives as music is such a subjective product and process. However, for what it's worth, I have been a musician for over 20 years (main instrument guitar) and have a fair amount of experience producing and engineering over the course of the last 8 years or so. As far as listening to music, I have what seems to be the unique ability to separate my taste and emotional response (particularly when negative) during the listening experience, allowing me to fairly analyze my experience of it regardless of style. I may express distaste in extreme circumstances, but I will never put that on the artist to "fix" so to speak, because one's distaste is often another's great taste. I can only say for certain how it might sound better to *me*. I try my best to keep criticism only to objective features of which I can say confidently that 90%+ of people listening will not like (e.g. vocalizing out of key, poor timing, outlandish tonal balance).

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