26 Royalty-Free Audio Tracks for "Aspma"

This is my final assignment for aspma course 2016. It is based on transformations over the file speech-male. Wav (https://www. Freesound. Org/people/xserra/sounds/317744/), used often over the course. A small time-stretching transformation, morphing with piano chromatic scales, and finally arranged by a python script to produce the final audio output. You can find the python code here:https://github. Com/nerkamitilia/aspma16/blob/master/workspace/a10/a10. Py. Format:mono, 16-bit, 44100hz.

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.

Some nonsense made of different other sounds for aspma-16.

Short sound to be used in the aspma course.

My a10 homework.

I took two different sounds, transform and merge them. This is the result.

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

Sound, which i've made for aspma course.

This is a transformation of the original recording https://freesound. Org/people/pinehadmz/sounds/369501/. For week 10 "musical piece" assignment for the audio signal processing for music applications online class. There are three layers, panned in stereo. Each syllable of each layer was randomly pitch shifted to a note in the minor scale using the harmonic plus stochastic model. Each harmonic track was thickened with extra harmonics during the synthesis process too to make it extra weird.

Spanish words for beethoven's ode to joy, first phrase. Recorded in a flat tone for further processing with dsp software.

Track made for the final assignment of the coursera course audio signal processing for music applications. Sounds from freesound. Org, transformed using sms-tools and edited in audacity.

Custom audio for the assignment 7 of aspma course at upf.

Short violin monophonic phrase recorded at home with an iphonex, converted to mono 16bit. Note sequence: b3, c#4, a3, f#4, d4, c#4, ?, a3.

This is a submission for the last project of the course audio signal processing for music application in coursera. Credits to:. Http://freesound. Org/people/darren1979/sounds/58416/http://freesound. Org/people/soundmatch24/sounds/187945/http://freesound. Org/people/macdaddyno1/sounds/320070/http://freesound. Org/people/kyle_healey/sounds/361651/http://freesound. Org/people/spleencast/sounds/90863/http://freesound. Org/people/jpnien/sounds/97397/http://freesound. Org/people/fotis_p/sounds/347402/http://freesound. Org/people/keweldog/sounds/223179/http://freesound. Org/people/klankbeeld/sounds/204741/. Basically it is four short segments of audio, each describes one season, from summer to spring. Each segments has an ambience sound transformed with a musical instrument or two.

Short violin monophonic phrase recorded with an iphone x and converted to 16bit and mono. Notes come as follow:b3, c#4, a3, f#4, d4, c#4, ?, a3, ?.

Music piece submitted as the final assignment for the aspma course.

Sound created by using harmonic plus stochastic model for audio signal processing for music applications.

A short phrase played on my persian santur, 16 bit mono wav at 44100 hz.

A single note from a organ with transformations to simulate a spacial take-off.

Raw sound of small guitar phrase, recorded by me via line input (no amp, no compression).

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.

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.

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;.

A short cello phrase recorded in amstelveen (netherlands) on the 22th of september 2012. A rme fireface 400 soundcard was used and ableton live as recording software. The resulting sound is a mix between recording with a zoom h4n (used as microphone), a dpa 4099 and an oktava mk-012 microphone.