It's a repetition of 3 medium notes in an old and unadjusted piano in a tourism house in the camping montseny, near to barcelona. Sound take with compact camera olympus stylus 820.
Sound design emulating an ambience of a train interior as in the old days of tape recordings. Insipred by the film "stalker" by andrei tarkovsky. The original recording is a bathroom from a high speed train in china, then slowed down and played with different stuff including saturation.
On a music tour mostly travelling along the volga river and stopping at various places on the way. Captured on portable cassette recorder. Was never told what place this was, just that it was the "little town' and i suspect at this point we were on the oka river. May 1992.
Recording of piano (physical, not electronic keyboard) tones and a chord (mostly c in different octaves), made quickly with cellphone with a little bit of noise, hopefully can still be useful.
This old footage of siren horn alert from czech republic in may 2006!this may be a alert or horn that’s because this an old audio i recorded with my old camera i buy in january 2005! this may be a horn alerts in random cities and towns wile i record this in railways and signals!.
This sound is completely analog. I recorded the sound of my key ring and tried to extract just the sound of the key. In this purpose, i used the effect “noise reduction”. I tried to avoid distortion but after several attempts we still hear the sound of the voices in the background. Descriptif selon la typologie de schaeffer :code : v''précisions morphologie :- masse : son cannelés (nœuds + toniques = mélange de note et de bruit)- timbre harmonique : acide éclatant- grain : microstructure- allure : chevrotement- dynamique : l’attaque est douce et graduelle- profil mélodique : serpentine- profil de masse : site : hauteur parmi d’autres.
This is an old recording from the year 2001 of a thunderstorm occured on 5th may 2001, at about 2am in pécel (nieghbour town from budapest), hungary. It was recorded by a grundig cr120 and i used audacity to remove the main background noise.