imclab / spectrotune Goto Github PK
View Code? Open in Web Editor NEWThis project forked from corbanbrook/spectrotune
Performs pitch detection on a polyphonic audio source and outputs to MIDI
Home Page: weare.buildingsky.net
License: MIT License
This project forked from corbanbrook/spectrotune
Performs pitch detection on a polyphonic audio source and outputs to MIDI
Home Page: weare.buildingsky.net
License: MIT License
Spectrotune Spectrotune is a Processing application ( http://www.processing.org ) which scans a polyphonic audio source (in wav, mp3, etc formats), performs pitch detection and outputs to MIDI. Spectrotune offers adjustable options to help improve pitch detection, including: * Pitch Class Profiling (PCP) * FFT Bin Distance Weighting * FFT Windowing - rectangular, hamming, hann, triangular, cosine, and blackman windows. * FFT Linear Equalization - attenuate low freqencies and amplify high freqencies. * Harmonic Filter - filters peak harmonics. * Noise Smoothing - rectangle, triangle, and adjacent average smoothers. * Parabolic Peak Interpolation. * Adjustable Peak Threshold. * Octave toggles - narrow the spectrum to the octaves you are interested in recording. * MIDI octave channel segmenting - route each octave to its own MIDI channel. Install and Basic Usage (Max OS X Standalone Application): Spectrotune is now available in a standalone application for Mac OSX which you can download at http://github.com/corbanbrook/spectrotune/downloads * Open DMG file. * Put audio files(wav, mp3, etc) in the music folder. (Note: music folder *must* be relative to the spectrotune.app path) * Launch application. * Click 'Files' tab and select the audio file you wish to open. * Record with MIDI sequencer. Currently only exported as an application for Max OS X as I dont have any other platforms to test on. If you want a standalone application for Windows or Linux please send me a request or install processing and export the application yourself. If you wish to play with the source code you can follow the instructions below to install processing and the required libraries. Processing Install (all platforms): * Install processing ( http://www.processing.org ) * Install rwmidi ( http://ruinwesen.com/support-files/rwmidi-0.1c.zip ) * Install ControlP5 ( http://www.sojamo.de/libraries/controlP5/ ) * Clone Spectrotune and place inside your Processing Sketchbook directory cd ~/Documents/Processing (this is where I keep mine) git clone git://github.com/corbanbrook/spectrotune.git * Make sure your operating systems MIDI interface is configured properly. * Put audio files (wav, mp3, etc) you wish to open in the 'music' folder within the route of the sketch. * Open MIDI enabled sequencer software, ie Reason, Cubase, Fruityloops, etc. * Open processing. * Run. If you are using a MIDI enabled sequencer software you should be able to record the input and pass on to any soft synth, or hardware synth. Keyboard Commands: 0-7 Octave filter: toggle octaves 0 to 7 On/Off p Pitch Class Profile (PCP) toggle On/Off e Linear EQ toggle On/Off h Harmonic Filter toggle On/Off m Mute audio toggle On/Off n MIDI output toggle On/Off SPACE Pause/Play toggle RIGHT Peak Threshold Increase/decrease /LEFT ESC Quit @corban weare.buildingsky.net ________________________________________________________________________________ Copyright (c) 2009 Corban Brook, released under the MIT license
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.