35 Royalty-Free Audio Tracks for "Fft"

6 announcers doing the phoneme of the vowels in the spanish language.

Stretched out granular metallic soundscape.

Sound created from using the rings of saturn as a spectral source to a series of filters. When a 1 pixel high image of the rings is extracted it looks like a spectrogram (original: https://en. Wikipedia. Org/wiki/file:saturn%27s_rings_dark_side_mosaic. Jpg). The ring spectrogram was divided into three color planes, and the color intensity values were transformed into resonant filter cutoff frequencies. In essence one filter unit (per color plane) has 256 sounds playing simultaneously. The individual filters are placed along the x-axis so, that the stereo image consists of 256 steps from left to right. In this sound of the series the spectrum was compressed to a range of 20 - 1000 hz. A small variation in certain divider factor per color plane is introduced for a slight chorus like effect.

Format: wav - 24 bit, 48khzdescription:a sound-to-image processing using fft. Sounds like aliens communicating in a cave or underwater environment. Added convolution reverb. The image used was a photograph taken by martin popek called "red sprites" attached below is the modified version i used for conversion. . Retrieved from http://spaceweathergallery. Com/indiv_upload. Php?upload_id=117053. -------------. If you like or dislike this sound, please comment on your thoughts :). Reminder:this upload is cc0 and in the public domain, so use to your heart's contempt.

Spectral synth chord made with sunvox's spectravoice + reverb.

Picture yourself being abducted by a highly advanced alien race, you're trapped inside one of their crafts, being far far away from earth at this point, i guess this is a soundscape that reminds me of it, created by experimenting with various free plugins including dtblkfx and thesis2b, both amazing tools on their own, more than capable of giving you glitchy squelchy hi-tech sounds.

Metal granulation made with fft analysis of a voice sound file.

This is made using a program named virtual ans, using of fft.

This sound was made in sunvox 2. 0e. Using fft and self-made chorus effect.

Analysis of sound speech-female. Wav with short-time fourier transform:- parameters used in the analysis are: - window type = hamming, window size(m) = 601, fft size (n) = 1024, hop size (h) = 151.

[the high pitched screeches are not actually present in the audio file] constant sound of a strong wind, great for layering underneath more dynamic environmental recordings. The sound was created in reaktor 6 using fft based granular synthesis.

[the high pitched screeches are not actually present in the audio file] constant sound of a strong wind, great for layering underneath more dynamic environmental recordings. The sound was created in reaktor 6 using fft based granular synthesis.

[the high pitched screeches are not actually present in the audio file] constant sound of a strong wind, great for layering underneath more dynamic environmental recordings. The sound was created in reaktor 6 using fft based granular synthesis.

Analysis of veena concert sound (https://www. Freesound. Org/people/anjds/sounds/377315/ ) with short-time fourier transform model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters used in the analysis are: - window type = hamming, window size(m) = 1051, fft size (n) = 2048, hop size (h) = 263.

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.

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.

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.

Samples of the vintage korg mini pops 45 drum machine. No processing applied here but a very gentle fft based noise reduction. After all, i figured background noise was part of the machine's sonic identity. No patterns here, since that would have taken forever, just the individual sounds. Some of them alone, some of them combined. Recorded mono with a zoom h2n thru the machine's "amp" output.

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.

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 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 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 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;.

Non-functional tube radio warming up, making a loud 60hz hum with lots of harmonics. As a bonus it clicks off at the end. Zenith consoltone. Only because the faq says so: electro voice n/d 257a through impedance transformer into crappy gigabyte motherboard realtek high definition audio. 16bits, processed at 32bits. Audacity sound editor and/or driver wouldn't record mic level so it was very noisy after amplification. Filtered with a (mathematically equivalent) fft constructed whopping 64k length zero phase filter (blackman window) with 5 wavelength width bandpass at each harmonic from 60hz to 5,520hz. For some reason a fraction of some of the harmonics didn't get through so did another pass on the residual noise and mixed that in. Near the beginning there was a sort of brief duplicate signal that descended in pitch so it didn't make it through the filter. I added that bit in. Attenuated frequencies above 3. 6khz because they are pretty much noise, but removing them didn't sound right. Cleaned up the beginning a bit in various ways, cut it down to 15 sec and carefully appended the unfiltered "click" onto the end, which i denoised 12db with audacity's noise reduction.