24 Royalty-Free Audio Tracks for "Stochastic Residual"

Stochastic residual.

The first 4 seconds ofraw audio of moderate rainfall in witley, england posted by inspectorjseptember 5th, 2017.

A little stream of water producing constant water drops. Hint: this file was recorded at 96 khz samplerate, try to play this at 44,1 khz, sounds more interesting. Recorded with zoom h1. No postprocessing. ---if you want, you can send me a tip using:- bitcoin cash (bch): 1htyelrfkftg9bvnph9wcrnyvmh83ve5qq- or bitcoin (btc): 1mvenxia6sajzrqsztb1cv4wetaalqsz66(but don't feel obliged to).

Hps mode output harmonic part.

Hps mode output stochastic part.

Hps mode output stochastic re-synthesized.

The reconstruction of the harmonica1. Wav. This sound comes from freesound with license creative commons 0. I've analyzed it with the models_gui of the sms-tools repository of the audio signal processing for music applications course from the university pompeu fabra. They told me to use one sound for my week 7 assignment and to make some analysis and synthesis on it. I do not know where they took it. For more information ask xavier serra. Https://www. Freesound. Org/people/swapnil_gt/sounds/255115/.

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.

I took a big metal box with tea leaves inside and applied constant rotating motion to it. Can be looped perhaps. Hint: it was recorded at 96 khz, try playing this at 41,1 khz, sounds interesting. Recorded with zoom h1. No postprocessing.

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.

Frequency scaled output sound obtained by analysis and synthesis of sound speech-female_hpsmodel. Wav (https://www. Freesound. Org/people/anjds/sounds/377067/) with transformations model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters considered are:-ifrequency scaling factors= [0,1,1,0. 6],ii) frequency stretching factors = [0,1,1,1],iii) timbre preservation = 1, iv) time scaling factors = [0, 0 ,1 ,1].

Frequency scaled output sound obtained by analysis and synthesis of sound speech-female_hpsmodel. Wav (https://www. Freesound. Org/people/anjds/sounds/377067/) with transformations model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters considered are:- i) frequency scaling factors = [0,1. 5,1,0. 6], ii) frequency stretching factors = [0,1,1,1],iii) timbre preservation = 1, iv) time scaling factors = [0, 0 ,1 ,1].

Output sound obtained after frequency scaling and stretching of sound speech-female_hpsmodel. Wav (https://www. Freesound. Org/people/anjds/sounds/377067/) with transformations model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters considered are:- i) frequency scaling factors = [0,1. 5,1,0. 6], ii) frequency stretching factors = [0,1. 5,1,1,2,1. 5],iii) timbre preservation = 1, iv) time scaling factors = [0, 0 ,1 ,1].

Output sound obtained after frequency scaling and stretching along with time scaling of sound speech-female_hpsmodel. Wav (https://www. Freesound. Org/people/anjds/sounds/377067/) using transformations model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools)parameters considered are:- i) frequency scaling factors = [0,1. 5,1,0. 6], ii) frequency stretching factors = [0,1. 5,1,1,2,1. 5],iii) timbre preservation = 1, iv) time scaling factors = [0, 0 ,1 ,0. 6, 1. 5, 1. 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.

Stochastic component.

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.

Short, three-field example of stochastic generation of clouds of sound using only sinusoids. Done with blue (of steven yi) as an environment for csound, and pmask (a replacement for cmask done in python) from inside blue.

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.

Creative audio application of the harmonic plus stochastic transformations module of the sms-tools by the mtg.

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;.