34 Royalty-Free Audio Tracks for "Hpsmodel"

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.

Original can be found here: https://freesound. Org/people/xserra/sounds/317745/i applied frequency and time transformations in order to change the intonation and add some dramatism. The transformations i used are from sms-tools (https://github. Com/mtg/sms-tools).

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;.

Synthesis resulting from the transformation process performed with the harmonic plus stochastic model implemented in the sms-tools software package (http://github. Com/mtg/sms-tools) on the male speech sound http://freesound. Org/people/islijepcevic/sounds/329042/. The parameters used in the analysis are:window="hamming", m=1501, n=4096, t=-80, minsinedur=0. 1, nh=200, minf0=80, maxf0=200, f0et=7, hamrdevslope=0. 01, stocf=0. 4freqscaling = [0,1. 3,0. 82,1. 3,0. 825,1. 158,0. 99,1. 158,1. 0,1. 38,1. 1,1. 38,1. 12,1. 7,1. 2,1. 7,1. 21,1. 4592,1. 278,1. 73,1. 28,1. 5,1. 45,1. 8,1. 7,1. 8]freqstretching=[0,1,1,1]timescaling=[0,0,0. 6,0. 001,0. 67,0. 071,0. 83,2. 071,1. 0,2. 4043,1. 12,2. 7377,1. 2,4. 7377,1. 28,5. 4043,1. 45,8. 071,1. 7,8. 2]timbrepreservation=1.

Stochastic component.

The end result.

Hps reconstruction.

Hps mode output harmonic part.

Hps mode output stochastic part.

Hps mode output stochastic re-synthesized.

Stochastic residual.

Harmonic synthesis.

Week 7 part1. 2 speech harmonic.

Mixed ocean sounds and birds to attain newborn bird child s near ocean.

Stochastic component of guitar sound. Sound from http://freesound. Org/people/ajlekceu/sounds/257418/ with a creative commons 0 license.

Mary had a little lamb, transformed by the sms-tools hpsmodel transformation, creating the effect of a voice changer, thereby anonymising the speaker's voice.

Modification of the sound speech-female. Wav from freesound using harmonic plus stochastic model of sms tools. The original sound has been modified so that it becomes a conversation between two characters.

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.

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/. 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.

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 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.

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 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 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.