Lydia Ayers (1952-2022) was a composer, flutist, educator, and puppeteer. Starting in 1996, she permanently resided in Hong Kong, where she taught at the Hong Kong University of Science and Technology.

Predominantly working in Csound on the NeXT computer, Lydia Ayers composed computer music with unlimited just intonation, re-creating numerous Indonesian, Native American, Australian, and Chinese instruments digitally. She also wrote acoustic music, including over 30 solo and ensemble works for flutes. Ayers performed on a wide range of flutes from various cultural traditions, utilizing extended vocal and woodwind techniques: quarter tones, multiphonics, buzz tones, and other unusual flute timbres.
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Adobe PDF - 804.7 KB - MD5: 265fd5bb00c52fc0064cbb621c7c7c3a
Adobe PDF - 1.8 MB - MD5: 8271f118bea23a9a16f65ba816119f6a
Oct 9, 2024
Ayers, Lydia, 2024, "Balinese", https://doi.org/10.14711/dataset/FMVAZZ, DataSpace@HKUST, V1
Microtonal; uses a variety of Balinese tunings generated with an algorithm in a quasi-Balinese style.
Oct 9, 2024 - Balinese
Waveform Audio - 33.3 MB - MD5: 9231202f1aafef8006e430bb78e6163a
Oct 9, 2024
Ayers, Lydia, 2024, "Appetizer", https://doi.org/10.14711/dataset/TORNKV, DataSpace@HKUST, V1
Microtonal; algorithmically composed in slendro using the flute design with multi-effect processing from Cooking with Csound and the Woodstock Gamelan.
Oct 9, 2024 - Appetizer
Waveform Audio - 9.8 MB - MD5: db75b453f130c8f7d33f6774ad5888e3
Oct 9, 2024 - Appetizer
Adobe PDF - 44.9 KB - MD5: 90cb735b4a62223deac091a910184602
Oct 9, 2024
Ayers, Lydia, 2024, "Ansikten", https://doi.org/10.14711/dataset/PTMETR, DataSpace@HKUST, V1
Ansikten (Faces) is dedicated to Swedish flutist Georgia Mohammar, for whom it was composed and who played the premiere. This piece uses the alto flute, bass flute, piccolo, and C flute in turn in the four sections, which are inspired by short, haiku-like poems about the four ele...
Oct 9, 2024 - Ansikten
Waveform Audio - 13.5 MB - MD5: e866f5b177b8fc0cf6901310137aecf3
Oct 9, 2024 - Ansikten
Waveform Audio - 21.5 MB - MD5: 5be87dcd0be7578672a60e5c290605bd
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