95 pistas de audio libre de derechos para "Detective"

Dark thriller atmo.

Music i made in garageband for something called victors crypt. Use it if you wanna. This turned out a bit jazzy much because of the double bass and piano. Could work great in a detective-moment in a club in the 30's, crime-stuff. Hope you like it. Feel free to use it as long as you give me the credit for it/write me as composer. And subscribe to and watch my channel :). Be cool and subscribe to victors crypt:https://www. Youtube. Com/channel/uca8o46_wrqzehsdzuwfq3rq. Throw horns, dance and hail satan!.

[radar_01_sec. Wav]. S/o to qubodup for moderating!. Radar scanning! something detected!. This sound can for example be used in war films, for example if the military service men on board a u-boat suddenly hears the radar-warnings - you name it!. If you enjoyed the sound, please rate, comment, spread! it really helps!. Note: make sure to check out the other matrixxx-sounds! the sound quality is always better when you download the sound(s)! ⛄. Enjoy!/matrixxx.

Dark myst orchestra strings winds organ drums orchestral cinematic music surround.

Little ammbient psycho suspense track i made in acid pro with loops i made in fl studio.

Makes me picture some sort of detective. Credit is appreciated, but i understand that keeping track is kind of a pain. If you use it in your project, feel free to send me a link! i'd love to see it! :).

My dreamtalk app picked up someone running past my window early hours of the morning, not sure if it's a child or adult. This app only activates when it detects sound and as well as dreamtalks it picks up some interesting sounds.

A recording of my bathroom ventilation fan shutters clicking in the breeze. The fan is not on so you can hear birds in the distance, and the wind in the tube-shaped fan chamber. When the wind blows it catches the plastic shutters and they rattle and click. Recorded very close to the fan with two dynamic microphones, there is virtually no bathroom ambience detectable. I'd be intrerested to know what this could be used for!.

Original sound: http://freesound. Org/people/orpheuz/sounds/258090/. This is a combination of the harmonic component and the stochastic component. It was extracted with sms-tools, hps model, with parameters:windowtype: blackmanwindowsize (m): 1765fftsize (n): 2048# parameters to identify peaks and harmonics:magnitude threshold (t): -100min duration: 0. 1max number of harmonics: 147min f0: 250max f0: 400max error in f0 detection: 7max freq dev in harmonic tracks: 0. 01stochastic approximation factor: 0. 2.

Original sound: http://freesound. Org/people/orpheuz/sounds/258090/. Harmonic sound extracted with sms-tools, hps model, with parameters:windowtype: blackmanwindowsize (m): 1765fftsize (n): 2048# parameters to identify peaks and harmonics:magnitude threshold (t): -100min duration: 0. 1max number of harmonics: 147min f0: 250max f0: 400max error in f0 detection: 7max freq dev in harmonic tracks: 0. 01stochastic approximation factor: 0. 2.

Original sound: http://freesound. Org/people/orpheuz/sounds/258090/. Stochastic sound extracted with sms-tools, hps model, with parameters:windowtype: blackmanwindowsize (m): 1765fftsize (n): 2048# parameters to identify peaks and harmonics:magnitude threshold (t): -100min duration: 0. 1max number of harmonics: 147min f0: 250max f0: 400max error in f0 detection: 7max freq dev in harmonic tracks: 0. 01stochastic approximation factor: 0. 2.

This is a tune i've made out of a short saxophone riff (using edirol orchestral vst) which i've pitch shifted and reversed and reverbed and stuff and i think it sounds a bit 80s and very much like background music for some sort of tv program or film with spying or detectives or ghosts or possibly straight horror.

Reconstructed sound get from http://freesound. Org/people/cbeeching/sounds/116913/. Author cbeeching. The parameters used in the analysis are: window-type = hamming; window-size = 1024; fft-size = 2048; magnitude-threshold = -90; minimum-duration-of-harmonic-tracks = 0. 01; maximum-number-of-harmonics = 100; minimum-fundamental-frequency = 50; maximum-fundamental-frequency = 250; maximum-error-in-f0-detection-algorithm = 7; max-frequency-deviation-in-harmonic-tracks = 0. 01; stochastic approximation-factor = 0. 2.

[security scanning 03. Wav]. Security scanning 02. Can for example be a robot patrolling that you have to avoid in order to not get detected and / or killed!. If you enjoyed the sound, please star, comment, spread the word!🗣 it really helps! 🎯. Note: make sure to check out the other sounds! the sound quality is always better when you download the sound(s)! ⭐. More content otw!/matrixxx aka lil mati.

A chord that is a bit creepy. Done it in garageband for something called victors crypt. Hope you like it. Feel free to use it as long as you give me the credit for it/write me as composer. And subscribe to and watch my channel :). Be cool and subscribe to victors crypt:https://www. Youtube. Com/channel/uca8o46_wrqzehsdzuwfq3rq. Throw horns, dance and hail satan!.

[security scanning 03. Wav]. Security scanning 03 remastered. Can for example be a robot patrolling or lasers that you have to avoid in order to not get detected and / or killed!. If you enjoyed the sound, please star, comment, spread the word!🗣 it really helps! 🎯. Note: make sure to check out the other sounds! the sound quality is always better when you download the sound(s)! ⭐. More content otw!/matrixxx aka lil mati.

[security_scanning_01. Wav]. [security scanning 03 remastered. Wav]. Security scanning 03. Can for example be a robot patrolling or lasers that you have to avoid in order to not get detected and / or killed!. If you enjoyed the sound, please star, comment, spread the word!🗣 it really helps! 🎯. Note: make sure to check out the other sounds! the sound quality is always better when you download the sound(s)! ⭐. More content otw!/matrixxx aka lil mati.

Stochastic part sound get from http://freesound. Org/people/cbeeching/sounds/116913/. Author cbeeching. The parameters used in the analysis are: window-type = hamming; window-size = 1024; fft-size = 2048; magnitude-threshold = -90; minimum-duration-of-harmonic-tracks = 0. 01; maximum-number-of-harmonics = 100; minimum-fundamental-frequency = 50; maximum-fundamental-frequency = 250; maximum-error-in-f0-detection-algorithm = 7; max-frequency-deviation-in-harmonic-tracks = 0. 01; stochastic approximation-factor = 0. 2.

Harmonic part sound get from http://freesound. Org/people/cbeeching/sounds/116913/. Author cbeeching. The parameters used in the analysis are: window-type = hamming; window-size = 1024; fft-size = 2048; magnitude-threshold = -90; minimum-duration-of-harmonic-tracks = 0. 01; maximum-number-of-harmonics = 100; minimum-fundamental-frequency = 50; maximum-fundamental-frequency = 250; maximum-error-in-f0-detection-algorithm = 7; max-frequency-deviation-in-harmonic-tracks = 0. 01; stochastic approximation-factor = 0. 2.

Set computer volume level at normal. Using headphones or your speakers, play each tone, gradually decreasing the volume until you cannot detect it. Note the volume setting (i know, this isn't easy if you don't have a graduated control, but you can make some arbitrary levels using whatever indicator you have on your os). Repeat with next tone. Try the test with headphones if you were using your speakers, or vice versa. Fyi: http://en. Wikipedia. Org/wiki/hearing_range.

[security_scanning_01. Wav]. Security scanning 01 remastered. Can for example be a robot patrolling or lasers that you have to avoid in order to not get detected and / or killed!. If you enjoyed the sound, please star, comment, spread the word!🗣 it really helps! 🎯. Note: make sure to check out the other sounds! the sound quality is always better when you download the sound(s)! ⭐. More content otw!/matrixxx aka lil mati.

A bit of music that could suit something spooky and strange. I did it in garageband for something called victors crypt. Feel free to use it as long as you give me the credit for it/write me as composer. And subscribe to and watch my channel :). Be cool and subscribe to victors crypt:https://www. Youtube. Com/channel/uca8o46_wrqzehsdzuwfq3rq. Throw horns, dance and hail satan!.

[security scanning 02. Wav]. [security scanning 01 remastered. Wav]. Security scanning!. Can for example be a robot patrolling or lasers that you have to avoid in order to not get detected and/or killed!. If you enjoyed the sound, please rate, comment, spread! it really helps!. Note: make sure to check out the other matrixxx-sounds! the sound quality is always better when you download the sound(s)! ⛄. Enjoy!/matrixxx.

This is from a fan audio recording of the 1967 doctor who episode "tomb of the cybermen". The sound is now in the public domain. In 1967, these cybermen were voiced by peter hawkins using a vocoder or an electro-larynx, a device used to restore speech to those whose vocal cords are damaged by detecting vibrations of the throat. At the very end of part 2 of "tomb of the cybermen", the cyberman controller is awakened and says "you belong to us, you shall be like us!" to the cast.

Resynthesized output 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.

A creepy tune i made in garageband for a show called victors crypt. I did some chords first on piano followed by some sound effects and melody in the background. I think it might be usefull in something spooky, alien-like, strange. . . Anyway i hope you like it. Feel free to use it as long as you give me the credit for it/write me as composer. And subscribe to and watch my channel :). Be cool and subscribe to victors crypt:https://www. Youtube. Com/channel/uca8o46_wrqzehsdzuwfq3rq. Throw horns, dance and hail satan!.

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.

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 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 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 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.

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.

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.

Residual output sound obtained by analysis and synthesis of sound speech-female. Wav (http://freesound. Org/people/xserra/sounds/317745/) with harmonic plus residual 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.

Residual output sound obtained by analysis and synthesis of veena concert sound (https://www. Freesound. Org/people/anjds/sounds/377315/ ) with harmonic plus residual 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 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 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.

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.

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;.

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.

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.

A short tune i made in garageband for something called victors crypt. I wanted to make the ground with "organic" instruments like violin, acoustic guitar and piano. But i also added a synth to get an atmosphere and spook things up. I think it could be good for something mysterious and a bit eerie. Anyway hope you like it. Feel free to use it as long as you give me the credit for it/write me as composer. And subscribe to and watch my channel :). Be cool and subscribe to victors crypt:https://www. Youtube. Com/channel/uca8o46_wrqzehsdzuwfq3rq. Throw horns, dance and hail satan!.

This is an example of a low-frequency sound often recorded through the hydrophone on the mars cabled observatory - an earthquake. Mars is located on smooth ridge (36. 7125n, 122. 1869w), west of monterey bay at approximately 900 m depth (http://www. Mbari. Org/at-sea/cabled-observatory/). This magnitude 3. 8 earthquake occurred on july 18, 2016 at 05:53:31 utc (usgs data). It was part of a small earthquake swarm along the san andreas fault, approximately 50 miles east of the hydrophone. All quakes in this swarm, with magnitudes as low as 1. 9, were detected by the hydrophone. We have recorded as many as 40 earthquakes within a single day. The original recording was normalized, and speed was increased 5x to make the low frequency sound more audible. Still, subwoofer or headphones are recommended.

I recorded the last part of my travel to work, the first day after my vacation. Inside the train my recording equipment (soundman digital recorder dr2) generates a lot of digital noise – more than usual. Interesting. Therefore i upload from when the commuter train stops at gothenburg central station and the doors open and i walk away from the station. The digital noise is there all the time but just less audible. In the beginning of the sound file you hear the noise clearly. Don’t buy this little recorder… (it has a sigmatel recording chip. ). In the frequency analysis, and spectral view, i notice peaks at about 800 - 950hz, 7850 - 8350hz and 16100-16450hz. I guess this is part of the digital noise. Tried to eq this away with spectral edit. This did not improve the sound. The noise has a wider spectrum. Tried to download the “latest” firmware at www. Soundman. De. Had to open command prompt and use unzip to extract the files. What?! but the firmware downloader does not detect the “device”. I doubt there is a new firmware anyway. The year for this recording, according to the recorder, is 2002…. The recording starts about 07:50 monday, august 07, 2017. I took 2 seconds from the beginning of this file and used paulstretch. Resulting in a 20second digital noise drone, “dr2 digital noise”,https://freesound. Org/people/gis_sweden/sounds/399075/had a thought that i could use a file like this to cancel out these frequencies from the other file with an inverted digital noise file… but i cant invert frequencies – off course :-d.

This is a failed attempt at sampling a rock drumkit on 6 tracks. The channels are as follows:. 0: oh l1: oh r2: kick3: snare4: room l5: room r. I've captured this into ardour 5. 12 using 3 different audio interfaces:. Behringer umc202hd - overheads (dynamic mics)line 6 pod studio ux2 - kick and snare (condenser + dynamic)zoom h2 - room ambience (built-in xy condenser mics). This file is a 6-channel 24-bit flac file encoded using ffmpeg from the raw wav files exported from the original ardour session. There are several issues with this recording however:. 1. The tracks seem to drift, because the individual audio interface clocks were not in sync. The proper way to record multitrack audio is using a single multichannel audio interface - but i didn't have one. 2. There's either x-runs or some usb transfer issues creating small glitches and dropouts in various tracks her and there. Don't know why did this happen, as we've been tracking the real drummer's performance without these issues. Now - fixing these issues manually would be an insane amount of work, but i hope maybe someone has means to either solve them with programming a special tool, or know a tool that could fix these, and make this recorded session ready to be sliced as a drumkit for say - drumgizmo. There's some really good stuff in here - an i was able to cut and mix some really nice drum samples, that i've been using for years, but it's not ready to be fully sliced for maximum flixibility. The instrument was played by myself - it's a drumset by pearl (don't remember the details), owned by the drummer of a band i recorded this with. The band was called small hint - hence the drumkit name. We were recording an ep, and i used some free time left to capture this as well. The ep was never finished and we disbanded soon after. Regarding fixing the issues - here's what i think needs to be done:. 1. I think each hit would have to be automatically phase-aligned on all 6 channels, to correct for the drift. 2. I think it should be possible to automatically detect clicks by simply watching for a sudden change in amplitude between adjacent samples - marking bad areas and then using something like audacity's repair effect to interpolate the waveforms. I think the glitches have much steeper changes in amplitude than even the drum transients, so it should be possible to differentiate between those automatically. If you found a way to fix at least some of these problems - please let me know!. If you've made some "remixes" on freesound - i'd also love to know that. Apart from that - sample what you can out of this and make some sick drum tracks!.