289 file audio bebas royalti untuk "Sms"

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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].
Penulis: Anjds
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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].
Penulis: Anjds
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It is a short rain sound of about 2. 5 second. Sampling frequency is 44100 hz. This short sound is from sms-tools-master, sound folder.
Penulis: Sonajbsfreesound
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Message sound made with my mouth, then edited with some light eq. Recorded with zoom f1 and xyh-5 capsule.
Penulis: Imafoley
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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].
Penulis: Anjds
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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.
Penulis: Islijepcevic
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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.
Penulis: Anjds
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Zoom h6 48khz-24bit recording of small computer speaker picking up interference from the modem.
Penulis: Untitled
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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.
Penulis: Anjds
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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.
Penulis: Anjds
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This is a suona audio segment from 《a hundred birds paying homage to the phoenix》which is one of the ten most famous pieces of chinese folk instrumental music. It depicts the sound of a hundred birds singing in harmony and celebrates the beauty of nature in a lively and cheerful tune, which gives full play to the characteristics of the suona. Its popularity is widespread, with different versions available in shandong, anhui, henan, hebei and other places. The music evokes a love of nature and a life of labor with a warm and upbeat melody.
Penulis: Jiemojiemo
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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.
Penulis: Anjds
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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.
Penulis: Anjds
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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.
Penulis: Anjds
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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.
Penulis: Anjds
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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.
Penulis: Anjds
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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.
Penulis: Anjds
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A short signal for text message arrival. It's a monophonic, square wave synthesis. Made to sound like old times, when cellphones didn't play mp3 files. Synthesised with zynaddsubfx inside lmms, edited and normalized in audacity.
Penulis: Unfa
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Synthesized with the sms-tools. Window: blackmanm: 1001n: 1024t: -80minsinedur: 0. 1nh: 50minf0: 140maxf0: 230f0et: 5harmdevslope: 0. 01stocf: 0. 4freq scaling factors: [0, 1, 0. 5,0. 4, 0. 7,0. 4,1, 3. 0]freq stretching factors: [0, 1, 1, 1] (no stretching)time scaling factors: [0, 0, 0. 5, 0. 3, 0. 7, 0. 6,1,2. 0].
Penulis: Tpellegrini
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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.
Penulis: Rgonnering
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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.
Penulis: Rgonnering
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Iphone text message with three words and send.
Penulis: Tourner
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I ported this file in audiocheck. Net/audiocheck_spectrotyper. Php see the text by clicking on the bar graph.
Penulis: Marcospurziani
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Typing on a mac.
Penulis: Jotica
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Phone vibrate sound field recording. If you want to support me, you are welcome to have a look here: https://richardatmo. Bandcamp. Com/. You can play albums there and also buy single sounds from me for small money. It's a way to support me. Or just have fun and chill with nature sounds. Have a nice day.
Penulis: Garuda
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Nice tone testing my new mic.
Penulis: Brudelarge
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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.
Penulis: Rgonnering
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Efeito sonoro gravado nos estúdios de áudio da universidade anhembi morumbi para a disciplina "captação e edição de áudio" do curso de rádio, televisão e internet pelos estudantes:ana clara lezo, barbara jadeh procópio, bruno accica, gustavo ferreira, julia alves, maria clara blasy e natally machado alves. Trabalho orientado pelo prof. Felipe merker castellani.
Penulis: Cactusneon
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It was raining last night and i had my sm57 mic handy here is a short snippet of the 18 minutes i recorded.
Penulis: Nialldoran
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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Penulis: MirceaKitsune
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