Hearing and Counting

Log in

This is a personal project by @dellsystem. I built this to help me retain information from the books I'm reading.

Source code on GitHub (MIT license).

95

0

terms

1

notes


        Seaver, N. (2022).  Hearing and Counting. In Seaver, N. Computing Taste: Algorithms and the Makers of Music Recommendation. University of Chicago Press, pp. 95-115

106

[...] he has just finished an internship at a large software company known for such techniques, and he is convinced that feature learning is the future. He derisively calls feature representations like MFCCs "handcrafted," suggesting that they are archaic and ready to be replaced.

"handcrafted" (derogatory) is a good idea

—p.106 by Nick Seaver 1 year, 3 months ago

[...] he has just finished an internship at a large software company known for such techniques, and he is convinced that feature learning is the future. He derisively calls feature representations like MFCCs "handcrafted," suggesting that they are archaic and ready to be replaced.

"handcrafted" (derogatory) is a good idea

—p.106 by Nick Seaver 1 year, 3 months ago

Computing Taste: Algorithms and the Makers of Music Recommendation
by Nick Seaver

Computing Taste: Algorithms and the Makers of Music Recommendation
by Nick Seaver

Computing Taste: Algorithms and the Makers of Music Recommendation
by Nick Seaver