![Suzanne Ciani - Flowers of Evil [Recorded 1969] (2019)](https://pixhost.icu/avaxhome/63/25/00692563_medium.jpg)
Suzanne Ciani - Flowers of Evil [Recorded 1969] (2019)
![Suzanne Ciani - Flowers of Evil [Recorded 1969] (2019)](https://pixhost.icu/avaxhome/63/25/00692563.jpg)
Suzanne Ciani - Flowers of Evil [Recorded 1969] (2019)
WEB FLAC (tracks) - 125 MB | MP3 CBR 320 kbps (LAME 3.93) - 61 MB | Front cover
Genre: Progressive Electronic | RAR 3% Rec. | Label: Finders Keepers
WEB FLAC (tracks) - 125 MB | MP3 CBR 320 kbps (LAME 3.93) - 61 MB | Front cover
Genre: Progressive Electronic | RAR 3% Rec. | Label: Finders Keepers
A previously unheard 1969 album by synth pioneer Suzanne Ciani called Flowers Of Evil is being released for the first time, via Finder’s Keepers. Inspired by the Charles Baudelaire’s Les Fleurs Du Mal, specifically the poem ‘Élévation’, its 4-tracks feature a recital of the poem accompanied by Ciani on the Buchla. Ciani initially used her own voice in the recordings, before enlisting a French student to recite ‘Élévation’ in French.Tracklist:
01. Flowers of Evil
02. Glass Houses
03. Token Spokes Part One
04. Token Spokes Part Two
Total time: 25:30
PERFORMER: auCDtect Task Manager, ver. 1.6.0 RC1 build 1.6.0.1
Copyright © 2008-2010 y-soft. All rights reserved
ANALYZER: auCDtect: CD records authenticity detector, version 0.8.2
Copyright © 2004 Oleg Berngardt. All rights reserved.
Copyright © 2004 Alexander Djourik. All rights reserved.
FILE: 04. Token Spokes Part Two.flac
Size: 19882776 Hash: 5C3D87FE4C9AD0659650F8ABED6CC972 Accuracy: -m0
Conclusion: CDDA 100%
Signature: 7D070BF8961ADAB2421ABD883610499B4A5C48A7
FILE: 03. Token Spokes Part One.flac
Size: 10831837 Hash: 04CDF7513DD93F048250BDF8987041B0 Accuracy: -m0
Conclusion: CDDA 99%
Signature: FC04780FB020A82AA71ED3FCAF4E20729379D883
FILE: 02. Glass Houses.flac
Size: 22766647 Hash: 79534989A616AE9D0C9358BCDFD5ED91 Accuracy: -m0
Conclusion: CDDA 100%
Signature: 307AAA8E6E510D8366FB242790F2886F63A899A1
FILE: 01. Flowers of Evil.flac
Size: 73816460 Hash: 7D2D5DC08DEA9157F7E68D11B44E067F Accuracy: -m0
Conclusion: CDDA 99%
Signature: 81C82655FFC50DE894CE34CBDA54FB9E74AC012F