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At that time, I wonder if there was any technology actually identifiying the song, or if it was a big mechanical turk sort of operation.
by ams6110 9y ago
At that time, I wonder if there was any technology actually identifiying the song, or if it was a big mechanical turk sort of operation.
- dsnuh 9y agoPretty sure they had the algorithm first.
- guelo 9y agoAmazon's Mechanical Turk service launched in 2005.
- coldtea 9y agoThe notion of a "mechanical turk" however, and of operations putting a facade on humans doing the work -- to which the parent alluded to ("a big mechanical turk sort of operation") and not specifically Amazon's variety , has been known and used for centuries.
- toomanybeersies 9y agoThe concept of the "Mechanical Turk" has been around for over 200 years: https://en.wikipedia.org/wiki/The_Turk https://en.wikipedia.org/wiki/The_Turk
- lstyls 9y agoIt's pretty obvious what GP meant. The concept of crowd-sourcing small chunks of work as a service is not the same thing as a hoax which involved a single person masquerading as an automaton. Amazon chose a clever name for its service that is memorable and references humans fronted by machines. Asserting otherwise is an example of the etymological fallacy: https://en.wikipedia.org/wiki/Etymological_fallacy https://en.wikipedia.org/wiki/Etymological_fallacy.
- Retric 9y agoEhh, I have seen references to using a person instead of an algorithm before Amazon released their service. Basically, if your automating human dexterity it's robotics, if your automating the brain it's AI. Sorting vegetables being a useful early example where humans could be thought of as a replaceable black box if you can break down what they are specifically doing. Thus Machine vision and classification where two common tasks because you need to play any game not simply replay a specific one.
- toomanybeersies 9y agoThe term "mechanical turk" has been used to describe "fake AI" since before Amazon Mechanical Turk was released.
- revelation 9y agoIt's just an easier form of speech recognition. That was plenty advanced in 2002. (Here is Shazam in a chip from 1988: https://www.youtube.com/watch?v=kFth9K_IvwA https://www.youtube.com/watch?v=kFth9K_IvwA Now imagine you have a magnitude better signal fidelity and 10e8 times the storage and processing power)
- rapind 9y agohttps://youtu.be/xm4mDO4XGIE https://youtu.be/xm4mDO4XGIE
- ungzd 9y agoAccording to Shazam Paper[1] (I can't find publication date), there were nothing fancy, just keypoints extraction on spectrogram. No deep learning with 100 layers or something like that which wouldn't be possible in 2000. [1] https://www.ee.columbia.edu/~dpwe/papers/Wang03-shazam.pdf https://www.ee.columbia.edu/~dpwe/papers/Wang03-shazam.pdf