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Auto categorization of pitch contours in a long file
Ian Howell
Hi friends, I would like to learn more about best practices to automatically categorize pitch contours in a long file. E.g., a singer is chromatically iterating a 1 3 5 3 1 pattern. I would like to be able to categorize every instance of that pattern separately from, e.g., 1 2 3 2 1 or 1 8 9 10 9 8. I don't care about the actual pitches, just the contours.
I find that I frequently just don't know what terms to use to search for methodologies outside my toolbox and wonder if anyone out there could point me in the right direction? Many thanks, Ian embodiedmusiclab.com New England Conservatory Cleveland Institute of Music |
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Dear Ian, Did you try to measure tones as Mel scale and convert to the patterns that you desire? I believe you can do it easily. Keep in touch! Best wishes! Em qua., 8 de fev. de 2023 16:06, Ian Howell <Ian.howell@...> escreveu: Hi friends, I would like to learn more about best practices to automatically categorize pitch contours in a long file. E.g., a singer is chromatically iterating a 1 3 5 3 1 pattern. I would like to be able to categorize every instance of that pattern separately from, e.g., 1 2 3 2 1 or 1 8 9 10 9 8. I don't care about the actual pitches, just the contours. |
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Boersma Paul
The sung tones correspond not to values in Mel, but to values in semitones. If with "1 3 5 3 1 pattern" you mean a major chord, then "3" is 4 semitones higher than "1", and "5" is 3 semitones higher than "3".
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Paul Boersma
Professor of Phonetic Sciences
University of Amsterdam
Spuistraat 134, room 632 1012VB Amsterdam, The Netherlands http://www.fon.hum.uva.nl/paul/ |
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