Wow! I wonder if an algorithm could be created to represent multiple musician's ways of communicating emotion. After all, we are all individuals. We don't all necessarily want to sound the "same."
Interesting. I fail to see, however, the "rigorous scientific method" in this study. What was the control? Did he sit there while people listened to the music? What kind of effect did the physical environment play on the people's reaction? Music is part of an atmosphere — Chopin playing in a soundproof studio sounds different outside, in a theater, at a bar, in a home. Many more things go into how a person perceives a song's expressiveness than the four quantifiable elements suggested.
Take a digital drum sequence and apply the reverse quantize algorithm to it to make it ever-so-slightly more variable. Like what was done here; but instead of randomly selecting 125% 150%; set the right level based on data of real people's musical tastes
The results of this study are not surprising and are part of what we know; but it's an interesting approach for quantifying musicians' expression/touch. It would be interesting to see if these data from a larger sample, could be applied to create an excellent reverse-quantize algorithm.
Wow! I wonder if an algorithm could be created to represent multiple musician's ways of communicating emotion. After all, we are all individuals. We don't all necessarily want to sound the "same."
theofficialDeFalco 2 months ago
Interesting. I fail to see, however, the "rigorous scientific method" in this study. What was the control? Did he sit there while people listened to the music? What kind of effect did the physical environment play on the people's reaction? Music is part of an atmosphere — Chopin playing in a soundproof studio sounds different outside, in a theater, at a bar, in a home. Many more things go into how a person perceives a song's expressiveness than the four quantifiable elements suggested.
EthicalJournalism 2 months ago
nice video.. thanks for sharing...
thegreeensky 3 months ago
Take a digital drum sequence and apply the reverse quantize algorithm to it to make it ever-so-slightly more variable. Like what was done here; but instead of randomly selecting 125% 150%; set the right level based on data of real people's musical tastes
POBox1999 9 months ago
The results of this study are not surprising and are part of what we know; but it's an interesting approach for quantifying musicians' expression/touch. It would be interesting to see if these data from a larger sample, could be applied to create an excellent reverse-quantize algorithm.
POBox1999 9 months ago
Thanks for sharing these. I had heard about the study, but this was a much more expressive demonstration!
Discchord 10 months ago