289 Royalty-Free Audio Tracks for "Analysis"

Debussy, La Fille aux cheveux de lin, bars 26-29

Bach Toccata in F, BWV 540 bars 197-207

Octaves marked middle octave. Created by Hyacinth (talk) 07:54, 3 January 2012 (UTC) using Sibelius 5.

Octaves marked highest octave. Created by Hyacinth (talk) 07:54, 3 January 2012 (UTC) using Sibelius 5.

Minor version of the theme, with piano right hand elaborating the melody in triplets.

Don Giovanni Overture bars 133-141 violins and bass only

Octaves marked lowest octave. Created by Hyacinth (talk) 07:51, 3 January 2012 (UTC) using Sibelius 5.

I recorded this sound from my mobile phone at 16 bits, sampling rate 44. 1khz, mono. Meant for analysis and transformation in aspma course on coursera.

Hammerklavier fugue subject, retrograde version, last four bars

Dissonance in Mozart's Adagio and Fugue in C minor, K. 546

A sample of clean versus buzz sound (E) on electric guitar. Un exemple de corde qui frise (mi) sur une guitare électrique.

Exposition Haydn's Sonata in G Major, Hob. XVI: G1, I, mm. 1-28.

Chorusharp,created with audacity. Analysis and resynthesis of an electric harp sound. For the plucknoise i added a filtered white noise. No samples used,my own creation.

Gary Adams, File was created using Scala to convert a sequence file of the major intervals in equal temperament to midi. It was then converted to an ogg file.

Piano Sonata No. 21, 1st movement, second subject

Mahler, Symphony No. 6, Scherzo, Figure 55, bars 5-12

Ah je vous dirai maman theme

Beethoven Scherzo from String Quartet Op 18 No 6

Piano Concerto 21, K467, slow movement, bars 83-93

Primary and secondary melody in the opening of Bach's BWV 1079.

Multi-octave F major chord with octaves marked by brackets. Created by Hyacinth (talk) 07:47, 3 January 2012 (UTC) using Sibelius 5.

Ricercar a 6 from the Musical Offering bars 29-31

Quartet in C sharp minor, op. 131 Trio from Scherzo, bars 93-100

Ejemplo de batimiento (acústica). Frecuencias: 440 Hz y 339 Hz.Example of beating (acoustic). Frequencies: 440 Hz and 339 HzNederlands: Voorbeeld van zweving (akoestiek). Frequencies: 440 Hz en 339 Hz

Quartet in C sharp minor, op. 131 — Trio from Scherzo, bars 69-76

The closing bars of String Quartet in E flat, Op. 33 by Haydn

Last message in a series. This time lots of receivers around could download signal. Mathematics analysis could find two words from what seemed to contain advanced maps of some kind. The two words were : asteroid coming.

A minimal drone. Might need some eq-ing. The frequency analysis reveals an extreme graph. A both extreme and minimal sound. Will anybody download it?.

J.S.Bach, concluding bars of the Fugue in C major from The Well Tempered Clavier, Book I, BWV 846

Final statement of the theme in a major key by the horns after the end of the cadenza.

Wagner, Gotterdamerung, transition between the end of the Prologue and Act 1 scene 1

An ascending fifths sequence in C major. Notice the "circle of fifths" pattern in the lower staff similar to the descending fifths sequence, except going in the opposite direction.

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.

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.

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 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.

This is a sound of a preson breathing 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.

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

This is a sound of finger scratching 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.

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

This is a fragment of the file accordion_theme. Wav provided by fchemotti:http://freesound. Org/people/fchemotti/sounds/255223/i used this sound for analysis at the aspma course of stanford university - pompeu fabra university. It has been shortened at 5'' for the course's purposes.

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.