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Animats wrote 2 hours 19 min ago:
The concept of measuring how much ink appears as the text passes a
vertical slot came back again in the 1950s. MICR codes, the numbers
that appear on checks, are read that way. [1] Or at least were in the
original implementation. The ink was magnetized and the paper went past
a one-track magnetic tape head. The waveform for each symbol is unique.
The recognizer is more like a bar code reader than an OCR system.
There are only 14 characters in that font - the digits 0-9 and four
special field identification symbols. The 1970s "futuristic" text fonts
which look like MICR symbols are purely decorative.
HTML [1]: https://en.wikipedia.org/wiki/Magnetic_ink_character_recogniti...
zaius wrote 5 hours 9 min ago:
After reading Hail Mary, I wondered how reasonable it was for someone
to truly be able to understand a language based in tones / chords
alone. Maybe 60 words per minute would be enough to communicate but it
sure would be frustrating.
rtkwe wrote 3 hours 30 min ago:
I think you could get faster with a language actually meant to be
'sung' instead of this rough translation of english characters into
audio.
quizzical8432 wrote 2 hours 35 min ago:
My first thought was: âoh, thatâs an interesting concept, I
wonder how hard it would be to learn?â
Then I saw the frequency/time graph, and realised that didnât
seem to have been a consideration at all. This was obviously
designed by a sighted person who cared more about what the pictures
looked like!
Blind person: âBut how do I know which letter is which?â
Designer: âOh, thatâs easy! Just look at the picture!â
I love the idea of a sung language, though!
rtkwe wrote 2 hours 20 min ago:
Take a look at when this was invented, it's a critical detail in
evaluating all this, it was 1913! They were working with the very
limited technology they had, they couldn't detect the letters and
map them to a particular new tone or chord that might be easier
to understand, that tech just wasn't possible [0]. They had to
directly translate the image of the letters on simple photo
receptors into a corresponding frequency value.
[0] As I was writing this I did have the wild thought that in
theory if you had the weights already you could, in theory,
implement a very basic character recognition neural net with
analog circuitry using vacuum tubes that could recognize letters
for direct mapping to sound but it's entirely impractical to
create from scratch in reasonable time frames. Maybe over the
span of decades you could manually tune one?
altruios wrote 5 hours 17 min ago:
Is this a lighthearted jab at computer vision being reduced to tokens?
ge96 wrote 5 hours 21 min ago:
I take it this was before speak and spell
rtkwe wrote 3 hours 46 min ago:
This was before integrated circuits and was all analog.
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