289 Royalty-Free Audio Tracks for "Analysis"

This is a sound of hands rubbing and its characteristic in the gesture analysis works from the taln group (upf). In taln different aspects of natural language processing are being done. Learn more at: https://www. Upf. Edu/web/taln.

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;.

Rauhigkeit 1 Apser = Sinus 1000 Hz und Sinus 1070 Hz gleichzeitig.The sound of a harshness of 1 asper = a sine wave tone of 1000 Hz 100 % modulated with a sine wave tone of 70 Hz at 60 dB sound pressure.

Mono recording of a 440 hz tuning fork with resonance box, full decay time = more than 1 minute. I used the measurement microphone k4 by arnold esper placed directly in the resonance box. Recorded in the anechoic chamber for analysis and measurement purpose mostly.

A piece of balsa wood being struck and left to resonate. Recorded for frequency analysis of the partials that resonate in the different shape/size pieces. Also for there occasional spinning gestures, as they rotate in the air after being struck.

A piece of balsa wood being struck and left to resonate. Recorded for frequency analysis of the partials that resonate in the different shape/size pieces. Also for there occasional spinning gestures, as they rotate in the air after being struck.

A piece of balsa wood being struck and left to resonate. Recorded for frequency analysis of the partials that resonate in the different shape/size pieces. Also for there occasional spinning gestures, as they rotate in the air after being struck.

A piece of balsa wood being struck and left to resonate. Recorded for frequency analysis of the partials that resonate in the different shape/size pieces. Also for there occasional spinning gestures, as they rotate in the air after being struck.

A piece of balsa wood being struck and left to resonate. Recorded for frequency analysis of the partials that resonate in the different shape/size pieces. Also for there occasional spinning gestures, as they rotate in the air after being struck.

A piece of balsa wood being struck and left to resonate. Recorded for frequency analysis of the partials that resonate in the different shape/size pieces. Also for there occasional spinning gestures, as they rotate in the air after being struck.

A piece of balsa wood being struck and left to resonate. Recorded for frequency analysis of the partials that resonate in the different shape/size pieces. Also for there occasional spinning gestures, as they rotate in the air after being struck.

Title Piano hits, uncontrolled Artist stephan Original mp3 data Length:0:32 minutes (625.04 KB) Format:MP3 Stereo 44kHz 160Kbps (CBR) User tags Chord, Clash, hitting, Piano Type Natural PDSounds record number 330 Comment Hitting the piano uncontrolled with the underarms. Sound consists of 4 hits.

*Perfect octave on C = C'. Just: 2:1 = 1200 cents. Equal-tempered: 212/12:1 = 1200 cents. Limit: 3-limit. MIDI pitch bend: none MIDI.

Elaboration of the tonic arpeggio as prolongation in Bach, BWV 801, measures 3-4, per Forte, Allen (1979). Tonal Harmony in Concept and Practice, p.426. Holt, Rinehart, and Winston. ISBN 0-03-020756-8; image/audio made from score at the IMSLP.

Elaboration of the tonic arpeggio as prolongation in Chopin, Op. 48, measures 1-4, per Forte, Allen (1979). Tonal Harmony in Concept and Practice, p.426. Holt, Rinehart, and Winston. ISBN 0-03-020756-8; image/audio made from score at the IMSLP.

A simple guitar gesture played on a blueridge br-63 with old strings, recorded with a zoom h4n about 8 inches away from and pointed at the sound hole, reduced to mono with audacity. This sound was recorded for the purposes of harmonic + stochastic analysis in xavier serra's coursera class, audio signal processing for music applications.

A cartoon music loop that sounds like someone's in a hurry to get something done or go somewhere. At least, that's my (un)professional analysis. But don't worry, you can use it for whatever you want, no need to credit, pay, sign your life etc. Enjoy!. Layered with studio one.

The standard way of filling in this descending thirds pattern is to interpolate a first inversion chord in between each of these descents by thirds. The result is a bass line that moves down continuously stepwise, resulting in a figured bass of '5-6', and therefore, the standard descending 5-6 sequence.

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].

The source of this sound is https://freesound. Org/people/doomyd/sounds/530580/ - a clean electric guitar open a string. This sound has been processed using the harmonic plus stochastical analysis of the sms-tools package https://github. Com/mtg/sms-tools with frequency scaling and frequency stretching, to give a metallic flange & 2 octave bend effect.

An important subtype of the descending 5-6 sequence is the root position variant, also known as the Pachelbel sequence, due to the use of this sequence in Pachelbel's Canon. The Pachelbel sequence changes the first inversion chords in the descending 5-6 sequence to root position chords, resulting in a bass pattern that moves down a fourth, and then up stepwise.

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.

It can be described as an energy shield pulsating. Furthermore analysis dictates that can be sound as an anti-gravity engine or an energy whirling guroscope as a cental matrix of a spaceship. The constraction of the sound consists of an ambient meditative soundtrack "transmuted" using lower tones frequenses, raising bass and phaser pack. Sound application system audacity.

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.

Impulse response recorded from a bursting balloon in the st. Carolus church in vienna/austria (karlskirche). Measured reverberation time (rt60) is 5. 0 seconds average. Recorded with a measurement microphone k4 by arnold esper on the ground level of the church, 8 meters distance from the source. For measurement and analysis purpose, can be used as convoltion reverb also.

Modulation to the dominant in Haydn's Symphony in C Major, No. 97, Movement III Menuetto, measures 0-8 (piano reduction). Compiled from Murphy, Melcher, and Warch (1973). Music for Study, p.115. ISBN 0-13-607515-0; August Horn's piano reduction; and Howard Chandler Robbins Landon's full score edition. Roman numeral analysis added.

The secondary dominant chords of the key of C major, each given before the chord of which it is the dominant. Digital recording, made with an acoustic piano and Wavesurfer software by Opus33. This music is in the public domain. The recording is not copyrighted, and it is hereby released by Opus33 into the public domain. The following tag, though it is not quite accurate, is included in order to authorize this file according to the Wikipedia rules:

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/.

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/.

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/.

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.

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.

Or some acid sounds… and drone. All in oneused filters are> doepfer a-124 special edition, the wasp filter> uoki-toki polivoks vcf> intellijel μvcfdidnt plan to upload this to freesound, but read this. Okay filter freaks. . . The frequency analysis reveals a peak around 20khz. Through all of the track? almost. What is that? (when i converted the file to mp3 the peak disappears. . . ) one clue could be that i use the filter as vcas too?i have applied normalisation, compression and limiter in audacity. A "documentary" at https://www. Youtube. Com/watch?v=wtzfkg3mxcgin the film i use the mp3-file.

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.

We develop iphone app that perform musical analysis on recorded audio from the iphone. Our app implementation make use of the audio queue service to receive raw audio buffers from the audio queue callback. In the first version of our app we had the problem of too much clipping on the recording which degrade the accuracy of our analysis. We also suspected that the noise canceling algorithm in iphone 5 produce distorted sound, which is not much noticeable by human ear but distorted enough to affect our sensitive algorithm. We found that the solution to our problem is to set the audio session mode to kaudiosessionmode_measurement. This session mode is supposed to give maximum freedom for us to control the microphone input, which include turning off the automatic gain control and probably noise canceling as well. The solution works very well except that it introduce a strange waveform pattern in the beginning of all recordings in iphone 5. It is very hard to explain the waveform we get, so i made two recordings at freesound so that you can see it visually. The first recording is made in an almost quite environment, and you can see the weird spike in the beginning of the recording. The second recording (this recording) is made with constant background noise, and you can see that the actual sound wave is offset from the strange curve and gradually increase to its original volume. This waveform only happens on iphone 5 devices that we tested, and there is no problem at all for iphone 4s and older generations. We have tried various settings and the glitch is still unavoidable as long as we set the audio session mode to kaudiosessionmode_measurement. We also find similar glitch in one of our iphone 5 devices, in which the glitch happens even if we try to set just the input gain level without changing the session mode. We are not sure if this is a hardware-related bug in iphone 5, or if it is fixable software glitch in the future version of ios. For the moment we are looking for workaround that can avoid this glitch while automatic gain control and noise canceling are disabled.

I recorded the last part of my travel to work, the first day after my vacation. Inside the train my recording equipment (soundman digital recorder dr2) generates a lot of digital noise – more than usual. Interesting. Therefore i upload from when the commuter train stops at gothenburg central station and the doors open and i walk away from the station. The digital noise is there all the time but just less audible. In the beginning of the sound file you hear the noise clearly. Don’t buy this little recorder… (it has a sigmatel recording chip. ). In the frequency analysis, and spectral view, i notice peaks at about 800 - 950hz, 7850 - 8350hz and 16100-16450hz. I guess this is part of the digital noise. Tried to eq this away with spectral edit. This did not improve the sound. The noise has a wider spectrum. Tried to download the “latest” firmware at www. Soundman. De. Had to open command prompt and use unzip to extract the files. What?! but the firmware downloader does not detect the “device”. I doubt there is a new firmware anyway. The year for this recording, according to the recorder, is 2002…. The recording starts about 07:50 monday, august 07, 2017. I took 2 seconds from the beginning of this file and used paulstretch. Resulting in a 20second digital noise drone, “dr2 digital noise”,https://freesound. Org/people/gis_sweden/sounds/399075/had a thought that i could use a file like this to cancel out these frequencies from the other file with an inverted digital noise file… but i cant invert frequencies – off course :-d.