Traktomizer Learning, Resources, Acknowlegdments and Attributions

 

Discover audio analysis – why we use it – how it works

See why computer algorithms can satisfy even your music cravings

Learn about optimising your own audio productions to increase playability in a new world

Relax and admire the work of more than 30 000 music professionals, educators, researchers and enthusiasts referred to from around the world who, since the early 1950’s, have bewildered mankind with a never ending stream of sonic disruptive beauty

Without them Traktomizer could never exist.

 

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The following links were also made available as a Pinterest Board.

Apple Music vs Spotify: What’s the difference?
http://www.cnet.com/uk/news/apple-music-vs-spotify-whats-the-difference/

How music recommendation works — and doesn’t work. by Brian Whitman
http://notes.variogr.am/post/37675885491/how-music-recommendation-works-and-doesnt-work

Predicting iTunes Sales Through the Anatomy of Music
http://making.nextbigsound.com/post/97809923743/predicting-itunes-sales-through-the-anatomy-of

Echonest Analyzer Documentation
http://developer.echonest.com/docs/v4/_static/AnalyzeDocumentation.pdf

EchoNest Acoustic Attributes Overview
http://developer.echonest.com/acoustic-attributes.html

Creating Music by Listening by Tristan Jehan (Creator of The EchoNest)
http://web.media.mit.edu/~tristan/phd/dissertation/

Labrosa Million Song Dataset
http://labrosa.ee.columbia.edu/millionsong

=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=

Top 40 Musical Universities in America: How Students Listen
https://insights.spotify.com/us/2014/09/16/how-students-listen/

How Students Listen
http://musicmachinery.com/category/analytics/

Lift Calculator put a dollar value on social media
https://www.nextbigsound.com/labs/lift-calculator

Forecasting – Wikipedia, the free encyclopaedia
http://en.wikipedia.org/wiki/Forecasting

Regression analysis – Wikipedia, the free encyclopaedia
http://en.wikipedia.org/wiki/Regression_analysis#Software

Pattern Matching
http://en.wikipedia.org/wiki/Pattern_matching

Automatic Music Clustering using Audio Attributes
http://www.ijcse.net/docs/IJCSE14-03-06-096.pdf

Spectralmodeling synthesis
http://en.wikipedia.org/wiki/Spectral_modeling_synthesis

Visualizing a Hit – InfoVis Final Project
https://sites.google.com/site/visualizingahit/

Musical Genre Tag Classification With Curated and Crowdsourced Datasets
http://cs229.stanford.edu/proj2012/DiabMaineroWatson-MusicalGenreTagClassificationWithCuratedAndCrowdsourcedDatasets.pdf

The Million Song Dataset – AudioFeatures
http://www.liacs.nl/~erwin/api/Audio%20Features.pdf

MMTD – Million Musical Tweets Dataset
http://www.cp.jku.at/datasets/MMTD/

How much money DO musicians get out of Spotify?
http://www.mirror.co.uk/news/ampp/how-much-money-musicians-out-4650474

How Much Do Music Artists Earn Online?
http://www.informationisbeautiful.net/2010/how-much-do-music-artists-earn-online/

‘Dynamic Range’ & The Loudness War
https://www.soundonsound.com/sos/sep11/articles/loudness.htm

List of online music databases
http://en.wikipedia.org/wiki/List_of_online_music_databases

Parsons code
http://en.wikipedia.org/wiki/Parsons_code

Machine Listening and Music Information Retrieval
http://www.audiocontentanalysis.org/software/

Implementations of automatic note segmentation algorithms
https://github.com/johnglover/notesegmentation

MARL: Music and Audio Research Laboratory – Gordon Database
http://steinhardt.nyu.edu/marl/research/gordon_database

MajorMinor Music Tags
http://majorminer.org/search/human

Hyperphysics – Sound
http://hyperphysics.phy-astr.gsu.edu/hbase/sound/soucon.html

Augmented Reality for the Totally Blind
http://www.seeingwithsound.com/

Musical Audio Semantic Segmentation Exploiting Analysis Of Prominent
Spectral Energy Peaks And Multi-Feature Refinement

http://home.deib.polimi.it/sarti/CV_and_publications_files/2009_IEEE_ICASSP_musical_audio_semantic_segmentation.pdf

Loudness is not simply sound intensity!
http://hyperphysics.phy-astr.gsu.edu/hbase/sound/loud.html

7 Tips on Making Your Music Loud
http://www.resoundsound.com/7-tips-on-making-your-music-loud/

Spectrogram, Cepstrum and Mel-Frequency Analysis
http://www.speech.cs.cmu.edu/15-492/slides/03_mfcc.pdf

Musicontology.com
http://musicontology.com/

Digital Trends
http://www.digitaltrends.com/

Spotify: Introducing a better way to discover music
https://news.spotify.com/us/2012/12/06/discover/

Mastering Media Blog
http://mastering-media.blogspot.com/

Solving Misheard Lyric Search Queries Using A Probabilistic Model Of Speech Sounds
http://ismir2010.ismir.net/proceedings/ismir2010-27.pdf

EveryNumber at Once
http://www.furia.com/page.cgi?type=log&id=392

Differentiability of Lipschitz functions on Banach spaces
http://www.sciencedirect.com/science/article/pii/002212369090147D

People Liked Their Music Fastest in the =9180s
http://blog.echonest.com/post/61686021710/people-liked-their-music-fastest-in-the-80s

Computation of spectral and root MUSIC through real polynomial rooting
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1420830&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%1420830

The Loudness War Is Real, and We Can Prove It With Science
http://blog.echonest.com/post/62248127937/the-loudness-war-is-real-and-we-can-prove-it-with

Sound Predictions How the audio properties of a track lead to sales
https://www.nextbigsound.com/labs/echonest

Predicting iTunes Sales Through the Anatomy of Music
http://making.nextbigsound.com/post/97809923743/predicting-itunes-sales-through-the-anatomy-of

As The Beat Goes On, It Gets More Accurate
http://blog.echonest.com/post/63473953098/as-the-beat-goes-on-it-gets-more-accurate

Research: Music Has Grown Less Organic Over Time
http://blog.echonest.com/post/64884535626/research-music-has-grown-less-organic-over-time

The Difference Between Being 91Undiscovered=92And 91Epic=92 On Social Media
http://blog.nextbigsound.com/post/99499483023/the-difference-between-being-undiscovered-and

How Pop Music’s Bounciness Has Shifted Since 1950
http://blog.echonest.com/post/64225029044/how-pop-musics-bounciness-has-shifted-since

Acoustic Instruments: A Tale of Two Millennia
http://blog.echonest.com/post/62809944962/acoustic-instruments-a-tale-of-two-millennia

Elvis to Miley, Danceability Remains Constant
http://blog.echonest.com/post/60178016824/from-elvis-to-miley-danceability-remains

Is Music Getting More Energetic Over Time?
http://blog.echonest.com/post/60842073276/is-music-getting-more-energetic-over-time

Plotting Music’s Emotional Valence, 1950-2013
http://blog.echonest.com/post/66097438564/plotting-musics-emotional-valence-1950-2013

How EQ can make your music sound louder 96 using LESS compression and limiting
http://productionadvice.co.uk/mastering-eq

Graph Classification by Means of Lipschitz Embedding
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=4915743&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%4915743

Music Tagging With Regularized Logistic Regression
http://ismir2011.ismir.net/papers/PS6-10.pdf

Automating Music Production with Music Information Retrieval Jordan V. Hawkins
http://www2.ece.ohio-state.edu/~schniter/pdf/hawkins_bs.pdf

A mood-based music classification and exploration system by Meyers, Owen Craigie
http://dspace.mit.edu/handle/1721.1/39337

Real-time Twitter analysis
http://glowingpython.blogspot.com/2013/04/real-time-twitter-analysis.html

Spotify: The Playlist Miner
http://static.echonest.com/playlistminer/index.html

MusicBox : navigating the space of your music by Lillie, Anita Shen
http://dspace.mit.edu/handle/1721.1/46583

WhoSampled
http://www.whosampled.com/metadata/

Spotify Labs
https://labs.spotify.com/

Pleasurize Music Foundation
http://www.pleasurizemusic.com/

Audio system measurements
http://en.wikipedia.org/wiki/Audio_system_measurements

Six Basic Audio Measurements
http://www.ap.com/solutions

MIREX: Audio Tag Classification
http://www.music-ir.org/mirex/wiki/2014:Audio_Tag_Classification

The International Society of Music Information Retreival
http://www.ismir.net/society.html

Music Similarity and Recommendation
http://www.ofai.at/research/impml/technology/musly.html

Music Identification
http://www.ofai.at/research/impml/technology/identify.html

Music Analysis
http://www.ofai.at/research/impml/technology/analyse.html

How to get a musical mood for a given artist
http://blog.rethinkops.com/code/calculating-average-mood-for-music-artists-using-the-echo-nest-api/

Improving spectrogram resolution in Python
http://dsp.stackexchange.com/questions/1593/improving-spectrogram-resolution-in-python

Forskningsportal
http://vbn.aau.dk/da/organisations/audio-analysis-lab%28545096ba-2f5d-459d-b6cb-2e5efbb34981%29/publications.html

Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation
http://www.amazon.com/Adaptive-Multimedia-Retrieval-International-Applications-ebook/dp/B00RZJ6JSQ/ref=sr_1_1/182-5357476-3592655?s=books&ie=UTF8&qid=1431700140&sr=1-1&keywords=9783319120935

Audio Analysis Lab | Aalborg University
http://www.create.aau.dk/audio/

Data Visualization
http://selection.datavisualization.ch/?s=python

How to Harvest Facebook updates with Python, MySQL or SQL Server
http://ryrobes.com/python/how-to-harvest-facebook-updates-with-python-mysql-or-sql-server/

Convolution Theorem
https://ccrma.stanford.edu/~jos/mdft/Convolution_Theorem.html

Musical Genre Classification of Audio Signals
http://dspace.library.uvic.ca:8080/bitstream/handle/1828/1344/tsap02gtzan.pdf?sequence=1

Social Information Filtering: Algorithms for Automating ‘Word of Mouth’
http://www.sigchi.org/chi95/proceedings/papers/us_bdy.htm

Comparison of speech synthesizers
http://en.wikipedia.org/wiki/Comparison_of_speech_synthesizers

The OpenMP=AE API specification for parallel programming
http://openmp.org/wp/

Can visualizing 50-years worth of hit U.S. pop song characteristics help us discover trends worthy of further investigation?
https://sites.google.com/site/visualizingahit/home

Mel Frequency Cepstral Coefficient (MFCC) tutorial
http://www.practicalcryptography.com/miscellaneous/machine-learning/guide-mel-frequency-cepstral-coefficients-mfccs/

Resources on Music and (Science or Mathematics or Computing)
http://www.cs.bu.edu/~snyder/cs591/Resources.html

What Artists Should Know About Next Big Sound
http://www.musicthinktank.com/blog/what-artists-should-know-about-next-big-sound.html

Real Time Signal Processing in Python
http://bastibe.de/2012-11-02-real-time-signal-processing-in-python.html

Frequency Analysis of audio file with Python- Numpy/Scipy
https://sites.google.com/site/haskell102/home/frequency-analysis-of-audio-file-with-python-numpy-scipy

Harvesting Tweets into Social Intelligence tables using a Python Script
http://scn.sap.com/docs/DOC-53824

How Next Big Sound Is Using Data to Help Bands and Brands
http://www.inc.com/jeff-bercovici/2015-30-under-30-next-big-sound.html

 

player2

The Music APIs

 

EchoNest.com
http://developer.echonest.com

NextBigSound.com
https://api3.nextbigsound.com/

Last.fm
http://www.last.fm/api

Spotify.com
https://developer.spotify.com/

7Digital.com
http://developer.7digital.com/

MusicBrainz.org
https://musicbrainz.org/doc/Development

Discogs.com
https://www.discogs.com/developers

OpenAura.com
http://developer.openaura.com

Rdio.com
http://www.rdio.com/developers/

Deezer.com
http://developers.deezer.com

Beatport.com
https://oauth-api.beatport.com

Facebook.com
https://developers.facebook.com/

Twitter.com
https://dev.twitter.com

GooglePlay
https://developers.google.com

RoviCorp.com
http://developer.rovicorp.com

Gracenote.com
https://developer.gracenote.com/web-api

ArtistLink.com
http://developer.artistlink.com

Decibel.net
http://www.decibel.net

HypeMachine
http://hypem.com

FreeMusicArchive.org
http://freemusicarchive.org/api

FreeSound.org
http://www.freesound.org/help/developers

MixCloud.com
https://www.mixcloud.com/developers

SoundCloud.com
https://developers.soundcloud.com

Every Noise at Once
http://everynoise.com/engenremap.html

YouTube.com
https://developers.google.com/youtube

AcousticID.org
https://acoustid.org/webservice

Dynamic Range Database
http://dr.loudness-war.info/

LyricFind.com
http://www.lyricfind.com/services

Lyricsnmusic.com
http://www.lyricsnmusic.com/api

MusicMatch.com
https://developer.musixmatch.com/

SongKick.com
https://www.songkick.com/developer

BandsInTown.com
http://www.bandsintown.com/api/overview

Billboard
http://www.billboard.com/

Eventfull.com
http://api.eventful.com

Gigatools.com
http://api.gigatools.com/

MusicMetric.com
http://developer.musicmetric.com

iTunes.com
https://www.apple.com/itunes/affiliates

Songmeanings
https://www.mashape.com/songmeanings/songmeanings

Social Searcher
http://www.social-searcher.com

open1

Music Coding Libraries, Software, Frameworks & Resources for Programming Enthusiasts

 

Python
https://www.python.org/

Cython
http://cython.org/

SWIG
http://www.swig.org/

Qt
http://www.qt.io/developers/

PyQt
http://www.riverbankcomputing.com/news

GUIProgramming with Python: QT Edition
https://www.commandprompt.com/community/pyqt/?page=pyqtbook

Rapid GUI Programming with Python and QT
http://www.cs.washington.edu/research/projects/urbansim/books/pyqt-book.pdf

Qt Extended Components
http://radekp.github.io/qtmoko/api/qtextended-components.html

Qt Audio Overview
http://doc.qt.io/qt-5/audiooverview.html

Juce C++ Toolkit
http://www.juce.com

Python bindings for the JUCE library 
https://github.com/synth2014/PyJuce

Chuck
http://wiki.cs.princeton.edu/index.php/ChucK

EchoNest GitHub
https://github.com/echonest

EchoNest Remix
http://echonest.github.io/remix

EchoNest Lab
http://static.echonest.com/labs/index.html

MusicMachinery
http://musicmachinery.com/

Music21
http://web.mit.edu/music21/doc/index.html

scikits.audiolab
https://pypi.python.org/pypi/scikits.audiolab

Drims – Music and Sound Description and Information Retrieval
http://grfia.dlsi.ua.es/cm/projects/drims/softwareVAMP.php

Linux Audio Users – Focusing on using audio and MIDI applications
http://comments.gmane.org/gmane.linux.audio.users/63923

The libsndfile API
http://www.mega-nerd.com/libsndfile/api.html

ID3.org
http://id3.org/Developer%20Information

Twitter sentiment analysis using Python and NLTK | Laurent Luce’s Blog
http://www.laurentluce.com/posts/twitter-sentiment-analysis-using-python-and-nltk/

Music APIs | Music Machinery
http://musicmachinery.com/music-apis/

Quotidian | visualizing time
http://quotid.com/

Photosounder.com – Image-sound editor & synthesizer
http://photosounder.com/

AcoustID
https://acoustid.org

BMAT – music innovation
http://www.bmat.com

TheAudioDB – Community Driven Music Metadata for the web
http://www.theaudiodb.com/index.php

NodeBox for OpenGL | City in a Bottle
http://www.cityinabottle.org/nodebox/sound/

How to Write LADSPA Plugins Using GDAM
http://gdam.ffem.org/writingladspaplugins.html

Visualizer Audio Analysis Suite FFT
http://www.nugenaudio.com/

tonfall – Tiny AS3 Audio Framework
https://code.google.com/p/tonfall

Python Data Analysis
http://pythonhackers.com/p/josephmisiti/awesome-machine-learning#python-data-analysis

JackAudio
http://jackaudio.org/

Praat: doing phonetics by computer
http://www.fon.hum.uva.nl/praat/

SuperPowered Mobile Audio Engine
http://superpowered.com

IOS vDSP Programming Guide
https://developer.apple.com/library/ios/documentation/Performance/Conceptual/vDSP_Programming_Guide/About_vDSP/About_vDSP.html

Kodi
http://kodi.wiki/view/Main_Page

Vispy
https://github.com/vispy/vispy

CMSIS DSP Software Library
http://www.keil.com/pack/doc/cmsis/dsp/html/index.html

Galry
http://rossant.github.io/galry

Essentia C++ library for audio analysis and audio-based music information retrieval
http://essentia.upf.edu

Gaia C++ library to apply similarity measures and classi=EF=AC=81cations on the results of audio analysis
https://github.com/MTG/gaia

SignalExpress
http://www.ni.com/labview/signalexpress/

PyWaveform: Python library to create an image of a song’s waveform
https://github.com/andrewrk/PyWaveform

Python: Creating Oscillators In Python 
http://sonic-field.blogspot.com/2014/03/python-creating-oscillators-in-python.html

sndfile-tools
http://www.mega-nerd.com/libsndfile/tools/

Waveform.js
http://waveformjs.org/

png++,a C++ wrapper for libpng
http://savannah.nongnu.org/forum/forum.php?forum_id=8181

FFTW
http://www.fftw.org

OhmPie – encode an image to a sound
http://www.ohmpie.com/imageEncode/

PYO
http://ajaxsoundstudio.com/pyodoc/index.html

DSPCompiler
https://github.com/rfielding/DSPCompiler

pyFFTW
http://hgomersall.github.io/pyFFTW/index.html

Musly – Audio Music Similarity
http://www.musly.org/

Python Multimedia Services
https://docs.python.org/2/library/mm.html

Python audioop
https://docs.python.org/2/library/audioop.html#module-audioop

cSoundQt
http://qutecsound.sourceforge.net/

Secret Rabbit Code
http://www.mega-nerd.com/SRC/download.html

Matlab: Spectrograms: Constant-Q (Log-frequency) and conventional (linear) 
http://www.ee.columbia.edu/~dpwe/resources/matlab/sgram/

Matlab Audio Processing
http://www.ee.columbia.edu/~dpwe/resources/matlab/

Abjad
http://www.projectabjad.org/

Frescobaldi
http://www.frescobaldi.org/

MELODIA – Melody Extraction vamp plug-in
http://mtg.upf.edu/technologies/melodia

Pitch Class Sets for Python
https://code.google.com/p/pcsets/

LibXtract is a simple, portable, lightweight library of audio feature extraction functions
https://github.com/jamiebullock/LibXtract/

The SndObj Sound Object Library Page
http://sndobj.sourceforge.net

SOX
http://sox.sourceforge.net/Docs/Features

Impromptu: An interactive programming environment for composition and performance
http://www.academia.edu/188336/Impromptu_An_interactive_programming_environment_for_composition_and_performance

Pandas – Python Data Analysis Library
http://pandas.pydata.org/

Loris Software for Sound Modeling, Morphing, and Manipulation
http://www.cerlsoundgroup.org/Loris/

PyQtGraph – Plotting in pyqtgraph
https://lumi.do/p/0c6te22rk1jse/plotting-in-pyqtgraph

Python Standard Midi File parser
https://pypi.python.org/pypi/midiparser

Sonogram
http://www.christoph-lauer.de/sonogram

Yaafe – audio features extraction
http://yaafe.sourceforge.net/index.html

Aubio – extraction of annotations from audio signals
http://aubio.org/

VertexDSP Audio Plug-Ins
http://www.vertexdsp.com/index.html

2CAudio
http://www.2caudio.com/

Librosa
https://github.com/bmcfee/librosa/tree/master/

AcoustID
https://bitbucket.org/acoustid

SteamGraph
https://github.com/leebyron/streamgraph

Eye – Python audio data toolkit (ID3 and MP3)
https://pypi.python.org/pypi/eyeD3/

PyAudio
http://people.csail.mit.edu/hubert/pyaudio/

Plone4Artists audio abstraction library
https://bitbucket.org/haypo/hachoir/wiki/hachoir-metadata

Soundscrape – Scrape an artist from SoundCloud
https://pypi.python.org/pypi/soundscrape

Hachoir – Program to extract metadata using Hachoir library
https://pypi.python.org/pypi/hachoir-metadata/

python-musicbrainz2
https://musicbrainz.org/doc/python-musicbrainz2

ffmpeg audio format conversions
http://linuxconfig.org/ffmpeg-audio-format-conversions

Stagger – ID3v1/ID3v2 tag manipulation
https://code.google.com/p/stagger/

DataSounds
https://github.com/DataSounds

BarbaBatch – professional batch sound file conversion application for Mac OS X.
http://www.audioease.com/Pages/BarbaBatch/

Mutagen – id3 tag manager
https://mutagen.readthedocs.org/en/latest

longtang: Music library organizer and id3 tag manager
https://pypi.python.org/pypi/longtang

babtools – an improved “ls” which shows id3 tags for mp3 and ogg vorbis files
https://pypi.python.org/pypi/babtools_tags

Real-Time-RGB-Matrix-Spectrum-Analyzer
https://github.com/snskreationz/Real-Time-RGB-Matrix-Spectrum-Analyzer

Python Audio Device Objects
https://docs.python.org/2/library/ossaudiodev.html#audio-device-objects

PyMedia – Python library for accessing and manipulating media files
http://pymedia.org/tut/

mp3fm – MP3 Folder Making app
https://pypi.python.org/pypi/mp3fm

Marsyas – Music Analysis, Retrieval and Synthesis for Audio Signals 
https://github.com/marsyas

Eingen
http://eigen.tuxfamily.org/index.php?title=Main_Page#Projects_using_Eigen

PyGal
http://pygal.org

RadioAnalyizer
http://radioanalyzer.com/

H5py – HDF5 binary data persistence
https://github.com/h5py/h5py

AVbin
https://github.com/AVbin/AVbin

Clam Project
http://clam-project.org/index.html

Vamp
http://vamp-plugins.org/

AudioLabs
http://www.audiolabs-erlangen.de/fau/professor/mueller/data

Christian’s Python Library
http://homepage.univie.ac.at/christian.herbst//python/index.html

Echoprint
http://echoprint.me/

NodeBox
http://www.cityinabottle.org/nodebox/sound/

AbletonLive9_RemoteScripts
https://github.com/gluon/AbletonLive9_RemoteScripts

Python Audio Unit Host
https://github.com/simlmx/pyau

MSongsDB
https://github.com/tbertinmahieux/MSongsDB/blob/master/Tasks_Demos/Tagging/top_terms.txt
Telemeta – web audio archiving software
https://parisson.github.io/Telemeta/
ffmpegwrapper
https://pypi.python.org/pypi/ffmpegwrapper
Pure Data Computer Music System
http://sourceforge.net/p/pure-data/pure-data/ci/master/tree/mac/
Moodbar
http://en.wikipedia.org/wiki/Moodbar
DBTune.org
http://dbtune.org
OS X System Equalizer
http://www.dctrwatson.com/2011/06/os-x-system-equalizer
FF Multi Converter: An Audio, Video, Image and Document Converter
http://www.unixmen.com/ff-muti-converter-an-audio-video-image-and-document-converter/
LAME Mp3 Encoder
http://wiki.hydrogenaud.io/index.php?title=LAME
Princeton Sound Lab Software
http://soundlab.cs.princeton.edu/software/

AudioGen – Generator based tools for working with audio clips
https://libraries.io/pypi/audiogen

The Shape of Song
http://archive.turbulence.org/Works/song/method/method.html

Software built with OpenGl
http://challengepost.com/software/built-with/opengl

audiolab modules to generate waveform and spectrogram png images from a wav file
https://github.com/ljvillanueva/Sound-Viewer-Tool

MusicTagging
https://github.com/mbhenaff/MusicTagging

Spectral Analysis Plugins
http://www.pluginboutique.com/categories/25-Spectral-Analysis

PyAlsaAudio
http://sourceforge.net/projects/pyalsaaudio/

Flux – Pure Analyzer System
http://www.fluxhome.com/products/analyzer_modules/pas_spectrum

VSXu
http://www.vsxu.com/for-artists

SoundSoftware Project – Luis Figueira
https://code.soundsoftware.ac.uk/users/12

QtVST
https://github.com/mbrucher/QtVST

Libgroove: streaming audio processing library
https://github.com/andrewrk/libgroove

Low pass filter and FFT for beginners with Python
http://dsp.stackexchange.com/questions/724/low-pass-filter-and-fft-for-beginners-with-python

Improved audio spectrum analyzer with the soundcard
http://www.qsl.net/pa2ohh/12audiosa.htm

A General-Purpose UI for Csound on Android
https://audioprograming.wordpress.com/page/2/

Melody Extraction
http://www.justinsalamon.com/melody-extraction.html#demo

review

Music Blogs & Websites

Tristan Jehan – the EchoNest
http://web.media.mit.edu/~tristan/

How music recommendation works =E2=80=94 and doesn=E2=80=99t work – Brian Whitman
http://notes.variogr.am/post/37675885491/how-music-recommendation-works-and-doesnt-work

MIREX Audio Tag Classification – MajorMiner Dataset
http://nema.lis.illinois.edu/nema_out/mirex2012/results/atg/subtask1_report/bin/index.html

Music data & music search at insane scale @ The Echo Nest
https://speakerdeck.com/bwhitman/music-data

Mingus – Music package for Python
https://code.google.com/p/mingus/

Audio in Python
https://wiki.python.org/moin/Audio/

Audio Fingerprinting with Python and Numpy
http://willdrevo.com/fingerprinting-and-audio-recognition-with-python/

How to Enjoy Music: Listening for Experience
https://scienceofmusicnyu.wordpress.com/

Last.fm Advanced Robotics
http://blog.last.fm/2012/07/24/advanced-robotics

BestEverAlbums.com
http://www.besteveralbums.com/

John Glover
http://www.johnglover.net/projects.html

The Heretic Empowering you to make money from your creativity
http://musicbusinessheretic.com/hereticblog/

Music recommendations with 300M data points and one SQL query
http://apassant.net/2014/07/11/music-recommendations-300m-data-points-sql/

Back in Black: Analyzing the loudness and tempo of the Rolling Stone top 500 songs
http://apassant.net/2014/07/21/analyzing-loudness-tempo-rolling-stone-top-500/

The Beat Spectrum: a New Approach To Rhythm Analysis
http://www.rotorbrain.com/foote/papers/icme2001/icmehtml.htm#pgfId-1000011644

How does Chromaprint work?
https://oxygene.sk/2011/01/how-does-chromaprint-work/

How Next Big Sound Tracks Over a Trillion Song Plays, Likes, and More Using a Version Control System for Hadoop Data
http://highscalability.com/blog/2014/1/28/how-next-big-sound-tracks-over-a-trillion-song-plays-likes-a.html

Who’s on top in music? It’s gotten hard to say
http://www.washingtonpost.com/lifestyle/style/whos-on-top-in-music-its-gotten-hard-to-say/2011/06/27/gIQAWF9gZI_story.html

Get your music on Spotify
http://www.spotifyartists.com/guides/

6 ways to get the most out of Spotify
http://www.spotifyartists.com/best-practices/

How is Spotify contributing to the music business?
http://www.spotifyartists.com/spotify-explained/#how-is-spotify-contributing-to-the-music-business

Unparalleled music intelligence for brands
https://www.nextbigsound.com/brands

Next Big Sound Presents The State of The Industry
https://www.nextbigsound.com/industryreport/2014

Song Visualizations with Echo Nest
http://blog.visualmotive.com/2009/song-visualizations-echo-nest/

Amarok User-directed Navigation
http://cratoo.de/amarok/ismir-crc.pdf

Music Hack Day Boston 2014
https://www.hackerleague.org/hackathons/boston-music-hack-day-2014/hacks