Machine Learning Poetry, by kāve

Machine Learning Poetry

by kāve

supported by

Harsh Agarwal I have been extolling the craziness of the Iranian scene of the past few years, but artists like Kave are making sure there is no letting off, not anytime soon.

Prepare for some uninhibited, unadulterated catharsis.

OH MY GOD!

	/

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1.	BIOS 03:30 video	buy track
2.	SOTE-holy_error_rework_by_kāve 04:05	buy track
3.	Diode 03:45 video	buy track
4.	Cathode 03:24	buy track
5.	Ode 04:21 video	buy track
6.	Decode 02:20 video	buy track
7.	404 04:04 video	buy track
8.	Anode 03:19	buy track

about

Kaveh Sattari (aka kāve), Tehran, Iran, is a sound experimentalist working in various fields of audio production and sound art.

Processing digital signal the way
pre-classical poet verses;
Vice versa.

credits

released September 26, 2023

Machine verses; it regenerates rhythms and rhymes based on a robāʿī (quatrain) by Onṣorī (10th-11th century) and a qaṣīdeh (ode) by Khāqānī (12th century); two of the most iconic and influential Persian poets between 10th to 12th centuries.

The process includes:
Metadata (cadence, rhythm, rhyme, accent) analysis and recording verses. Making MIDI clips out of the poems.
Sound synthesis based on the recorded voice as the source material. Letting the machine learn poetry.

Music, Artwork & Mastering: Kaveh Sattari

Special thanks to Iman Bahrami

sites.google.com/view/kaveh-sattari/home

ZS017

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about

Zabte Sote

A label focusing on Experimental Electronic Music by Iranian Composers.

Curated by Ata 'Sote' Ebtekar

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