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Music, popular or otherwise, has long been a reflection of our subconscious feelings; our bodies reacting to patterns of sound, interpreted through our eardrum, our frontal lobe, and our feet.
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Some musicians, including very good ones, lead "Parsifal" so that every note sounds interpreted, every phrase a decision.
Opening with a synth-infused backing and sounds interpreted as hand claps, Kesha opens the song by proclaiming, "Hot and dangerous if you're one of us, then roll with us 'Cause we make the hipsters fall in love".
Musically, the song is a dance-pop song that incorporates elements of electropop and techno; it uses a synth-infused beat as a backing with sounds interpreted as hand claps.
These electrodes then send the signals along the auditory nerve and the stimulated nerve then relays this information to the brain (auditory cortex as labeled in the image) where the sound is interpreted and translated into meaning.
Presumably it is also at the cortical level that the meaning of sounds is interpreted and behaviour is adjusted in accordance with their significance.
A few times after the initial stimulation, the signal evokes a response in the area of brain where sounds are interpreted.
One possibility is that the succession of sounds is interpreted differently by the blind, possibly more as apparent motion, and this interferes with the spatial representation.
When the actual sounds being interpreted are dumped into a file by DNS, it can be instructed also to record the start and stop times of each utterance (these are the segments of speech between natural breaks such as pauses) and of each word (the units identified by the ASR algorithm).
One problem, though, is that Garratt – while wide-eyed, charming company – isn't always that forthcoming about his music, declining to describe his sound or interpret his lyrics because he'd prefer listeners to decide.
In this regard, Hill's advice (Hill 1965) remains sound: when interpreting for causality, do not over-emphasize statistical significance tests, as systematic error is often greater than random error.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com