2370 pistas de audio libre de derechos para "Tracks"

A recording of an evening commuter train near a railroad crossing. Recorded with an em172/em182 ms stereo microphone on a tascam dr-60d recorder. Lightly processed with audacity 2. 0. 5.

Recorded with a tascam dr-100 mkii (uni-directional onboard microphones). Recorded at south devon railway, uk on 28/12/2017.

Water draining from my shower pipes makes a strange hand drum sound. I added two tracks and passed each to one side. Not sure if that is how you achieve stereo. I’m learning.

Ambience of new york city's q train subway at 2:22 am. Sounds of the train bumping on the tracks, announcements, doors opening and closing at stops, squeaking of the train. Recorded on iphone10, no processing.

This is my remix of some tracks made by @josefpres, i added some drums, delay, and reverb, enjoy! josefpres's profile-- https://freesound. Org/people/josefpres/.

Synthesis output sound obtained by analysis and synthesis of sound speech-female. Wav (http://freesound. Org/people/xserra/sounds/317745/) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 2019, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 1, maximum number of harmonics = 100, minimum fundamental frequency = 80, maximum fundamental frequency = 300, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 7.

Stochastic synthesis output sound obtained by analysis and synthesis of veena concert sound (https://www. Freesound. Org/people/anjds/sounds/377315/ ) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 1575, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 01, maximum number of harmonics = 100, minimum fundamental frequency = 100, maximum fundamental frequency = 800, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 2.

Synthesis output sound obtained by analysis and synthesis of veena concert sound (https://www. Freesound. Org/people/anjds/sounds/377315/ ) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 1575, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 01, maximum number of harmonics = 100, minimum fundamental frequency = 100, maximum fundamental frequency = 800, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 2.

Harmonic component obtained from the analysis of a female speech sound: http://www. Freesound. Org/people/xserra/sounds/254374/. This was done using the harmonic plus stochastic model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 2001- fft size: 2048- magnitude threshold: -100- minimum duration of sinusoidal tracks: 0. 05- maximum number of harmonics: 100- minimum fundamental frequency: 150- maximum fundamental frequency: 250- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 0. 05stochastic approximation factor: 1.

Stochastic component obtained from the analysis of a sound of erhu : http://freesound. Org/people/ricemutt/sounds/23933/. This was done using the harmonic plus stochastic model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 1601- fft size: 2048- magnitude threshold: -90- minimum duration of sinusoidal tracks: 0. 1- maximum number of harmonics: 20- minimum fundamental frequency: 100- maximum fundamental frequency: 2000- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 10stochastic approximation factor: 0. 2.

Residual signal obtained after subtracting the harmonics from a female speech sound: http://www. Freesound. Org/people/xserra/sounds/254374/. This was done using the harmonic plus residual model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 2001- fft size: 2048- magnitude threshold: -100- minimum duration of sinusoidal tracks: 0. 05- maximum number of harmonics: 100- minimum fundamental frequency: 150- maximum fundamental frequency: 250- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 0. 02.

Harmonic plus stochastic resynthesis of the female speech sound: http://www. Freesound. Org/people/xserra/sounds/254374/. This was done using the harmonic plus stochastic model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 2001- fft size: 2048- magnitude threshold: -100- minimum duration of sinusoidal tracks: 0. 05- maximum number of harmonics: 100- minimum fundamental frequency: 150- maximum fundamental frequency: 250- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 0. 05stochastic approximation factor: 1.

Harmonic component obtained from the analysis of a sound of erhu : http://freesound. Org/people/ricemutt/sounds/23933/. This was done using the harmonic plus stochastic model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 1601- fft size: 2048- magnitude threshold: -90- minimum duration of sinusoidal tracks: 0. 1- maximum number of harmonics: 20- minimum fundamental frequency: 100- maximum fundamental frequency: 2000- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 10stochastic approximation factor: 0. 2.

Harmonic sinusoidal output sound obtained by analysis and synthesis of veena concert sound (https://www. Freesound. Org/people/anjds/sounds/377315/ ) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 1575, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 01, maximum number of harmonics = 100, minimum fundamental frequency = 100, maximum fundamental frequency = 800, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 2.

Stochastic synthesis output sound obtained by analysis and synthesis of sound speech-female. Wav (http://freesound. Org/people/xserra/sounds/317745/) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 2019, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 1, maximum number of harmonics = 100, minimum fundamental frequency = 80, maximum fundamental frequency = 300, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 7.

Harmonic sinusoidal output sound obtained by analysis and synthesis of sound speech-female. Wav (http://freesound. Org/people/xserra/sounds/317745/) with harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in analysis are :- window type = blackman, window size(m) = 2019, fft size(n) = 2048, magnitude threshold in db(t) = -100, minimum duration of harmonic tracks = 0. 1, maximum number of harmonics = 100, minimum fundamental frequency = 80, maximum fundamental frequency = 300, maximum error in f0 detection algorithm = 5, max frequency deviation in harmonic tracks = 0. 01,stochastic approximation factor = 0. 7.

I have started to read a certain book written by allen strange, "electronic music: systems, techniques, and controls". It's about time i dig into it. Probably it will result in some sounds. . .

This is my competition entry for earth. It is comprised of copies of a kick drum recording and a high hat recording i've done with some phase vocoder processing. This short sound is really about 7 tracks of layered audio.

Artificial waterfall sound created using audacity. I created two brownian noise tracks and assigned one to the left channel and one to the right for a stereo effect. Using brownian noise means less high frequency noise that is harsh on the ears.

The sound of the bed springs creaking as i rocked back and forth. Could be used for music tracks or video where bed springs creaking would be appropriate. Possibly sounds like sex?. This is a slow rhythm.

Create hanna barbara jetson's car hover sound (but have stereo sound) from westington's "skiffy9. Wav" sound:audacityfor left channel:- cut silence before (0. 000s to 0. 046s), middle (0. 096 to 0. 228), and after (0. 301 to 0. 449) sound. - cut middle part 0. 130 to 0. 600. - effect→change speedspeed multiplier: 0. 800percent change: –20. 000. - effect→repeat. . . Number of repeats add: 250. - effect→equalization(18 db; 20 hz)(18 db; 800 hz)(–18 db; 2000 hz(–26 db; 11 000 hz). For right channel:- tracks→add new→mono track. - copy left track and paste at 0. 010 s in right track.

I create my own original sound effects using audacity and my own equipment and ocassionally a garden gnome or two.

I was trying to make some fx you can hear in enigma’s tracks (for example ‘the eyes of truth’). Made with audition. P. S. Maybe it’d be a better sound if you listen to a downloaded file.

Short tune i made, could be used for game music. You can use it for free, but it would be nice to contact me if you're going to use it. Because it might motivate me to make more.

I recorded this with my yamaha pocketrak. I edited it in sony vegas and rendered to 3 tracks. A late summer rain storm with a bit of thunder towards the end of the recording. Please comment on what you will use it for. :^).

Recorded on an iphone5 from the top of a hill above an industrial district with train tracks, in vancouver, wa. You can hear sounds of a diesel engine in the background and a few bird sounds. At the end a diesel engine is powering down.

6 separate tracks of my voice/breathing with pitch bend, delay, reversed, inverted, phased, and eating potato chips for extra effect! noise reduction used. Recorded at home on conexant smart audio and at2020 usb mic, processed with audacity.

Stochastic approximation of the residual signal obtained after subtracting the harmonics from a female speech sound: http://www. Freesound. Org/people/xserra/sounds/254374/. This was done using the harmonic plus stochastic model implemented in the sms tools: http://mtg. Upf. Edu/technologies/sms. The parameters used for the analysis were:. - window: blackman- window size: 2001- fft size: 2048- magnitude threshold: -100- minimum duration of sinusoidal tracks: 0. 05- maximum number of harmonics: 100- minimum fundamental frequency: 150- maximum fundamental frequency: 250- maximum error in f0 detection algorithm: 5- max frequency deviation in harmonic tracks: 0. 05stochastic approximation factor: 1.

Piano sound produced with fl studio 10 for the aspma course peer assesment 7 (part 2). Original sound from http://freesound. Org/people/hmartelb/sounds/328547/. This sound is the stochastic component of the hps model analysis using sms-tools. The parameters used in the analysis were:. Window-type = hamming;window-size = 3001;fft-size = 4096;magnitude-threshold = -120;minimum-duration-of-harmonic-tracks = 0. 1;maximum-number-of-harmonics = 200;minimum-fundamental-frequency = 80;maximum-fundamental-frequency = 280;maximum-error-in-f0-detection-algorithm = 5;max-frequency-deviation-in-harmonic-tracks = 0. 01;stochastic approximation-factor = 0. 05;.

This was recorded as part of a tracking shot for a project i did a few years ago. It starts off from the exterior of a fancy london pub around the primrose hill area, walking in to a fairly packed establishment. It tracks movement into different parts of the pub. There's fairly prominent music for the first half but it eases off to barely audible later on in the audio. A few minutes in, you'll hear the bartender announce the price (6. 95) a couple of times. Recorded on zoom h6 with x/y capsule.

This sound of alarm clock was entirely made with audacity. First, i generated a sinusoïdal key at 575 hz with an amplitude of 0. 11 during 3 seconds. Then i deselect my track and i generated an other sinusoïdal key at 1500 hz with an amplitude of 0. 33 during 3 seconds too. I deselected the track and i generated a final sinusoïdal key at 2800 hz with an amplitude of 0. 56 during 3 seconds. Next i selected my 3 tracks and i clicked on track - mix and render to a new track. I added a tremolo effect with a reverse serrated and a degree of 0, a level of 100 and a frequence at 25,0 hz. The wave must looks like stuck triangles.

Quiet cafe, with chatter amongst customers, at one point we hear a milk-frother going into action. Recorded on a tascam dr-40 using internal stereo mic.

I am trying out audacity- created this beat with generating rhythm layered tracks messed with tempo and compression and graphic eq. I'm new here and hope to create and upload more beats. This beat loops then speeds up a bit in the middle.

This is my cat charlotte laying on my chest purring. I recorded her with two yamaha pocketrak recorders and combined the two tracks and added more volume. If you upload it, all i ask is that you let me know what you are using it for. Thanks. :^).

A series of nondescript samples recorded in a fashion inspired by error. They are made so that even if they are arranged in a rhymthmicaly correct order, they still sound horrible. The samples come from unearthed past tracks.

Recorded opposite the start at goodwood circuit on a wet and windy day in march. Cars pulling out one at a time on wet tarmac. Mixpre3 and rode svmx.

Edited and mixed samples from the versilian studios chamber orchestra library. Use the link below to download the samples in multiple versions: https://vis. Versilstudios. Com/vsco-2. Html.

Production step :this sound is from a sound recording of a key hiting an iron bar. I take just one sound from my reccording and copy/paste in a new track. I amplify the sound and do a low pass filter. I copy paste my track and create another one just above. I move this new track for create a gap between the two tracks. On the second track i supress some of the beat for create a rythm. On the second track i change the pitch, for making a sound more high-pitched. Description :this sound looks like the ring of a bell tower. The rythm change every two bars who makes him unique and not settled. This sound is, for me, a reference of the track begining of dark techno music. Typologie de schaeffer :. Masse: nodaltimbre harmonique: eclatantgrain: résonnanceallure: mécaniquedynamique: rondeprofil mélodique: ascendant puis descendantprofil de masse: dilatation.

This is track 3 of 3 that makes up the sound file listed as breath of life - full. In releasing individual tracks, you will be able to make an arrangement that works for you. Most of the sounds i upload are from songs where i have lost my direction. In sharing them here, i hope someone can pick them up and make them part of something beautiful. I would love to hear what you make of them as it will be a source of inspiration to me. To see the possibilities beyond my own horizon. Everything starts off as a soundbridge project. I occasionally use aria maestosa for midi composition as the sounds are basic and pure. Audacity can't be beat when it comes to clipping. Engine dj is my library manager.

A railway arch under the mainline just near waterloo east station, london se1. Sparrows and wood pigeons can be heard, together with the whine of the stationary train on the tracks above, and the deeper rumble as the train moves off.

This sound was created in audition by using three sample tracks with altered pitches for the sound of the timer countdown. I used an altered 8 bit sample for the explosion, bringing out the low range and lowering the high range with a 30 band compressor.

This was made by me as a level up sound effect. It can also be used for exciting moments or other important events in videos or video games. It has two tracks, one at a much faster tempo, and the second at a much slower tempo.

This is a recording of the arrival and the departure of the train intercity 609 on the station of san benedetto del tronto in italyrecorded with zoom h2n.

Field recording of city park, morning, close to children playyard, sounds of children,some footsteps of pedestrians. Equipment: double ortf shoeps, sound devices 633 w kortwich preamp, first two channels - mix, then separate prefade iso tracks.

A sound recording from my local laundromat. Lots of rattling, swishing and metallic sounds. .

Voice over for a script called debt.

Something random i came up with the previous day. Liked the rhythm. Mainly three chords:cmsus4bbab.

Something random i started playing on (old and detuned) guitar. Recorded with a crappy microphone, mixed in audacity. A lot of background fuzz.

A nice electronic tune, made in chrome music lab, use in anything you want, i just ask for credit.

Something i made in fl studio, use in anything you want.