This was created with sampled percussion from the keyboard in adobe audition cs6 and recorded via logitech webcam mic. The sound was further de-noised and cleaned in audition's spectral view and effects applied to make the arrangement work. Hopefully this will prove useful to some.
My roland jupiter 4 with resonance cranked up and filter modulated with lfo by a very low rate. The deep basses at the end of each sweet may be great for deep dub-basses. The sweep sounds great with effects and when gated. Have fun. . .
Recorded on 03/12/2010 at the lion enclosure - melbourne zoo, australia. Recorded with a zoom h2 in 2-channel surround mode, with a windshield. This is the rear channel only, to minimise the train/tram noise from the front channel. File has not been modified.
Recorded on 03/12/2010 at the lion enclosure - melbourne zoo, australia. Recorded with a zoom h2 in 2-channel surround mode, with a windshield. This is the rear channel only, to minimise the train/tram noise from the front channel. File has not been modified.
Microphone: zoom iq7 with simple windscreen not edited stereo 120deg. Baltic sea: calm sea, waves about 20cm amplitude. Best filtering for wind-noise: high-pass 125hz to 150hz / -18db/oct.
Modular synth generative feedback patch driven by feedback between flip-flop chaos (nlc), a vclfo and logistische gleichung (klangbau köln). Two simple voices and filtered noise. Some reverb from spring reverb.
The recording is made whilst bushwalking, so captures the footsteps etc. It was recorded with a 3dio binaural mic and a zoom f8 field recorder. The recording has been minimally edited and denoised with rx7 spectral de-noise.
Typing on a mechanical keyboard with cherry red switches. Corsair k95high quality raw recording 24bit 96khz. If you like this sound or used it in your own project, feel free to donate to me here!paypal. Me/handygaber.
A compound of other sounds crated for my sci fi sitcom, this was supposed to be the sound of a landing dropship's bay doors opening to let out some over enthusiastic marines. I reckon it could work for a variety of industrial type noises.
Simple drone sound, created by using ableton's operator plus some granulator and effects. It can be used as a subtle background noise to make your scene tenser or etc. You get itexperiment with volume automation.
Refrigerator hum from inside closed refrigerator. Recorded in mono mp3 mode on a zoom h2. The recorder then created a 2-track file (and i assume both tracks are identical). Compressed and normalized to -3. 1 db in audacity. Exported in flac mode.
Formatted for the make noise morphagene. This reel consists of a spliced breakbeat. The final splice is the whole loop without any splices. Trashy drum kit, recorded by me, re-sequenced with elektron octatrack and played through a crappy speaker.
Workers working on a street in porto, portugal. The workers open the street and used a digger. One guy used a shuffle. Recorded with zoom h1 and cut with adobe premier.
City ambience: cars, tunnel, tube, wind, kids, children, pigeons. Sounded recorded with zoom h4n, near hallesches tor u-bahn station, berlin (germany). Converted to flac (audacity; level 8).
A very basic click. I'm not even intirely sure where i sampled it from. The only potentially problematic thing i could see is the slightly off left/right balance. Makes a cool noise when you loop it too.
Me typing random stuff on my computer. Recorded with a tbone sc440 usbeffect: noise-reductionfeel free to use this for whatever you want - you dont need to give me credit but if you want to use the direct link to this sound or "www. Valentinsblog. Com".
The soft sound of rain hitting the roof of an rv i was in. I set up my zoom h4n recorder and tried to sit as still as possible. Sounds quite nice. Edited to remove some movement noise.
An extremely squeaky metal bench swing at a public garden. The grating metal begs for lubricant like an old barn hinge. Some background anthrophonics, like a passing truck early and some individual voices during the recording, as one might expect in an urban park.
Recording of a train arriving at a station, remaining in the station and then leaving. Note- there is some minor wind noise. This recording took place in november of 2015 at meadowhall train station. Recorded with a zoom h2next portable mic.
New year eve's, the clock strikes 12am janurary 1, 2012; hollywood, california. There are a few edits in this recording because of wind noise. Watch out for a loud air horn at around 2:00.
Loop-able. Constant buzz from a slightly broken water pump on a small water feature. Recorded from multiple areas of the fountain. Running water can be heard in the background. Recorded on a zoom h4n recorder.
Dropping coins from hand to hand. Noise reduction, pitch bend, and 38% speed reduction used. Recorded on conexant smart audio with at2020 mic, processed on audacity.
Me unwrapping a candy bar and enjoying it! effects: noise reduction, vol. Envelope, and pitch bend reduction. Recorded on conexant smart audio with at2020 mic, processed on audacity.
In honor of my new guru pramahansa yogananda, i searched for a swan sample. Then i added: time stretch, high pass sweep, flange, rotator pann, delay @ 124 bpm,. Thank you guru, namaste.
It's a recording of a large passenger aeroplane with jet-engines passing by above my head. Recorded with hand-held zoom h2. Originally a 24-bit 96khz wav file. Normalized, truncated and converted to flac using audacity.
This sound is a collection of noises intended to respresent: a blind person's cane, someone trying to crack a safe and a person searching for something - such as in a store room. It was recorded using a shure sm58 and a marantz digital hard drive recorder.
Jet ambulance, recorded at skyview drags raceway, ny in 2005. Single engine jet dragster warming up to full power, with quick afterburner blasts. Some crowd noises in background. Recorded on olympus digital cam, at 96kbps compression, medium quality.
Recorded and processed at 24bit 48khz using the tascam dr-40 linear pcm recorder. Processing: gain-staging and soft high and low frequency filtering. No eq boost or cuts anywhere else. Also de-noised.
This recording was taken on dangar island shoreline. It features the gentle lapping ocean on the beach with the occasional jumping fish. The recording was taken with a tascam dr-44wl and the onboard xy mic pair. Post recording the sound was cleaned up a bit with rx spectral de-noise, and then normalised.
Recorded and processed at 24bit 48khz using the tascam dr-40 linear pcm recorder. Processing: gain-staging and soft high and low frequency filtering. No eq boost or cuts anywhere else. Also de-noised.
Blackbird chirping that made its nest in a laurel tree. Recording with xiaomi mi 5 and the sony "audio recorder" app in city environment you can hear city noises and voices in the background.
Canon 8-2 super 8 camera at 24fps. Recorded with a zoom h1 field recorder (internal microphones). No effects applied. I use it in combination with various film grain software to make the experience more believable.
I am present nowi love myselfi am free from my angeri am free from my sadnesslove is my experiencerecorded in audacity with samson r10s mic. Voice is my own. Tell me if you need any noise removal.
-this sound have been recorded in mono, on a samsung s8, using the recording app ''audiorec''. I have used izotope rx 6 to remove any unwanted noise. -small pieces of plastic stretched. *this sound is completely free to use without any need of giving credits(if desired). *.
This sound have been recorded in mono, on a samsung s8, using the recording app ''audiorec''. I have used izotope rx 6 to remove any unwanted noise. *this sound is completely free to use without any need of giving credits(if desired). *.
Heavy distortion with some ample amount of delay. The very beginning is rather moody and trippy, then it kicks in for a slow arena rock style guitar solo, then some random notes for the ending.
Weird sorta lo-fi type of riff which changes to an almost country type of lick, then it changes again near the end. Middle of the road distortion. Might work as a background noise track in smaller segments.
