32 Royalty-Free Audio Tracks for "Threshold"

Threshold driver fluid convector.

Threshold driver fluid convector.

Threshold driver fluid convector.

Pickups from unshielded wire put through gate unit and envelop-controlled lowpass, both triggered by noise peaks exceeding a certain threshold.

Playing around with the excellent tuner at http://websdr. Ewi. Utwente. Nl:8901/. The website even has a recording button! this version is the same as "shortwave-sweep-and-beeps. Wav" except here i have limited it with a threshold of 10db, which decreases dynamic range but also makes it louder overall.

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.

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.

X and y comes from the nonlinearcircuits sloth lfo (regular version). X is the high sinus c, left channel. Y is the low triangle c, right channel. X and y goes to comparator resulting in a note when crossing the threshold. At the same time x and y goes to cv in on jupiter storm generating two glissando paths. The two used osc's on jupiter storm are tuned to the same pitch.

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.

X and y comes from the nonlinearcircuits sloth lfo (regular version). X is the high sinus c, left channel. Y is the low triangle c, right channel. X and y goes to comparator resulting in a note when crossing the threshold. At the same time x and y goes to cv in on jupiter storm generating two glissando paths. The two used osc's on jupiter storm are tuned to the same pitch. The sloth have a potentiometer that is said to "alter frequency a little". . .

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.

This is a trnsformation of the original sound: http://freesound. Org/people/ricemutt/sounds/23933/ , with the parameters:. For synthesis:window type: blackmanwindow size: 801fft size: 1024minimum f0: 100maximum f0: 2500number of harmonics: 20 (we don't need too many harmonic here)threshold: -100stochastic decimation factor : 0. 1minimum sine duration : 0. 1. For transformation :frequency scaling factors : [0,1,0. 4,1,0. 6,0. 9,1. 0,0. 5,1. 2,0. 3,1. 4,0. 6] <- (make frequency variation steady)frequency stretching factors : [0,2,0. 5,1,0. 51,0. 7] <- (create a frequency variation, high->low )timbrepreservation : 1 <- (no change)time scaling factors : [0, 0, 0. 8, 1. 5,1. 0,2] <- (make some "free fall" feeling).

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.

A patch with nonlinearcircuits jerkoff ("chaos circuit based on the jerk equation and its electronic implementation by jc sprott") in the center. I had a question that needed an answer. Is jerkoff a stable lfo when not using the input to disturb the rythm?my answer is. It can be relatively stable, but sometimes it is wobbling around. The recording is from a wobbly jerkoff. One output to osc cv in and another to a vcf vc in. The third output goes to a comparator. The comparator generates a trigger every time the cv is passing the threshold level.

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;.

No pain no gainshort storyby: maqsood hasnitranslated by: najamfree abuzar barqi kutab'khanafeb. 2019owing to the intensity of heat and thirst, the crow was very enervated but there was no water and shade. He went on roaming about in search of water. He was thinking that, he would definitely die, if he could not find water in a short time. He neither wanted to die nor he was disappointed. He was determined to seek water and shady tree till the last breath of his life but, in fact, the intensity of thirst was creating problem for him. Now he had two choices either he must continue seeking water or leave it and wait for death. He mustered courage and flew east in search of water. He had covered a short distance when he saw a garden and hurriedly started flying towards it he wanted to live and was sure of hisexistence in future. Quite surprisingly, he seemed to be more active now. He wanted to reach the garden very soon and every cost. Though he was flying very speedily yet the garden seemed to be very far off. He got tired and thought that the garden be an illusion of his mind. He was shaken about the entity of garden. He thought it might be an illusion and he must seek any other way which could rescue his life. But he had not any other choice. To chase the illusion was better than to leave seeking water because there was the possibility of life. If he died while searching, it would be a courageous step. He stopped for awhile and the garden was quite at short distance. He hopefully started marching towards the garden and felt that it was not too far. He felt grief for wasting a precious moment. He would have been ahead if he had not stopped. He felt ashamed ofhis negative thinking because they could bring about demise. These negative feelings were equal to pessimism. A devoted definitely finds his goal at last because god helps those who helpthemselves. He took on fling with great zeal and now he appeared to be fresh. He was spiritually exalted and was flying without difficulty. Now he reached the threshold of the garden. The garden was in the urban area and it meant that it was for pastime but he was surprised to see that there were no bower. Birds had left this garden when men himself neglected it. He flew over the garden but there was no water. He deplored his labor. Suddenly, he found a pitcher in the garden and felt rejoiced and hurriedly went to it. There was very little water in the pitcher and he made very attempt to drink water but failed due to the low level of water. He hatched a plan and caught a pebble with the help of his beak and put it into the pitcher. Owing to heat, the pebble was dry and it seemed that it had liked it. In a short time, the crow poured another pebble and the first pebble did not like this sharer. Although it had not liked thesecond one yet the bitter fact was that the wise crow imposed his will by throwing more pebbles into the water. The crow was gallantly doing his job and, at last, the pitcher became full of wet pebbles and he drenched his thirst by sucking wetness of them.