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来源: | Freesound 前往原页面 查看译文 |
作者: | maghas99 |
许可: | CC-BY 保留署名许可协议 |
描述: | This is a musical fragment composed in Python code with the technique of multiplepasses of sound transformations. Assignment 10b of Coursera's ASPMA course, session 2014 (UPF Barcelona, CCRMA Stanford). Tool: smstools (https://github.com/MTG/smstools), Python functions: smstools/software/transformations_interface/hpsTransformations_function.py (analyze, transformation_synthesis). Method: HPS harmonic plus stochastic transformation. Original sounds (natural): (1) violin "92004__jcveliz__voilinpart2compress.wav"https://www.freesound.org/people/jcveliz/sounds/92004/(2) bassdrum "90150__menegass__bd05.wav"http://www.freesound.org/people/menegass/sounds/90150/(3) snaredrum1 "82238__kevoy__snaredrum.wav"http://www.freesound.org/people/KEVOY/sounds/82238/(4) snaredrum2 "2103__opm__snset4.wav"http://www.freesound.org/people/opm/sounds/2103/(5) cowbell "22759__franciscopadilla__56cowbell.wav"http://www.freesound.org/people/FranciscoPadilla/sounds/22759/(6) hihat1 "67210__akosombo__xbhhopen.wav"http://www.freesound.org/people/Akosombo/sounds/67210/(7) hihat2 "100054__menegass__guidrumch.wav"http://freesound.org/people/menegass/sounds/100054/ Multiplepasses transformation on a short violin sound, transformed into a piece of song, by using smstools HPS transformation functions. Adding some transformed percussion sounds. In phase one, frequencyscaling is determined by a table of MIDI note numbers in D Dorian scale to compose the fragment. Frequencystretching for each beat is randomized such that violin sounds like different frogs. Frequencyscaling of the percussions transformation is randomized for each beat, modulodivided into 8 beats, with: bassdrum (beat 0,4), snaredrum1 (beat 2,6), snaredrum2 (every beat), cowbell (beat 3,7), hihat1 (random beat), hihat2 (beat 5). Phase two of transformation is, timescaling applied to the composed song by a table of time periods. All transformations and mixing is done with Python code. Disclaimer: I am not musician :) |
标签: | stochastic digital soundeffect audiosignalprocessing python smstools hpstransformation artificial aspma14results fragment |
音频格式 | wav |
声音时长 | 00:44 |
文件大小 | 3.8 MB |
比特率 | 708 kbps |
采样率 | 44100 Hz |
位深度 | 16 bit |
声道 | 立体声 |