ARLA/CLUSTER: Inteligência Artificial vai apreender código morse por si própria

[João Costa > CT1FBF]

Machine learning system uses images to teach itself morse code

Conventional wisdom holds that the best way to learn a new language is
immersion: just throw someone into a situation where they have no choice,
and they'll learn by context. Militaries use immersion language
instruction, as do diplomats and journalists, and apparently computers can
now use it to teach themselves *Morse code*.

The blog entry by the delightfully callsigned [Mauri Niininen (AG1LE)]
reads like a scientific paper, with good reason: [Mauri] really seems to
know a thing or two about machine learning. His method uses curated
training data to build a model, namely Morse snippets and their
translations, as is the usual approach with such systems. But things take
an unexpected turn right from the start, as [Mauri] uses a Tensorflow
handwriting recognition implementation to train his model.

Using a few lines of Python, he converts short, known snippets of Morse to
a grayscale image that looks a little like a barcode, with the light areas
being the dits and dahs and the dark bars being silence. The first training
run only resulted in about 36% accuracy, but a subsequent run with shorter
snippets ended up being 99.5% accurate. The model was also able to pull
Morse out of a signal with -6 dB signal-to-noise ratio, even though it had
been trained with a much cleaner signal.

Other Morse decoders use lookup tables to convert sound to text, but it's
important to note that this one doesn't. By comparing patterns to labels in
the training data, it inferred what the characters mean, and essentially
taught itself Morse code in about an hour. We find that fascinating, and
wonder what other applications this would be good for.

https://hackaday.com/2020/01/27/machine-learning-system-uses-images-to-teach-itself-morse-code/
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