Traktomizer Learning, Resources and Attribution
From here we can 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 disruptive sonic genius.
This page is also available as a Pinterest Board
Traktomizer software includes its own comprehensive user manual
Why Songs of the Summer Sound the Same – The New York Times
https://www.nytimes.com/interactive/2018/08/09/opinion/do-songs-of-the-summer-sound-the-same.html
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 7 Free Music Data APIs (Updated for 2019)
https://rapidapi.com/blog/top-free-music-data-apis/
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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 80s
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
https://making.nextbigsound.com/predicting-itunes-sales-through-the-anatomy-of-music-8276f88c7328
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
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
Music Coding Libraries, Software, Frameworks & Resources for Programming Enthusiasts
https://www.python.org/
http://cython.org/
http://www.swig.org/
http://www.qt.io/developers/
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
http://radekp.github.io/qtmoko/api/qtextended-components.html
http://doc.qt.io/qt-5/audiooverview.html
http://www.juce.com
Python bindings for the JUCE library
https://github.com/synth2014/PyJuce
http://wiki.cs.princeton.edu/index.php/ChucK
https://github.com/echonest
http://echonest.github.io/remix
http://static.echonest.com/labs/index.html
http://musicmachinery.com/
http://web.mit.edu/music21/doc/index.html
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
http://www.mega-nerd.com/libsndfile/api.html
http://id3.org/Developer%20Information
Twitter sentiment analysis using Python and NLTK | Laurent Luce’s Blog
http://quotid.com/
Photosounder.com – Image-sound editor & synthesizer
http://photosounder.com/
https://acoustid.org
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
http://pythonhackers.com/p/josephmisiti/awesome-machine-learning#python-data-analysis
http://jackaudio.org/
Praat: doing phonetics by computer
http://www.fon.hum.uva.nl/praat/
SuperPowered Mobile Audio Engine
http://superpowered.com
https://developer.apple.com/library/ios/documentation/Performance/Conceptual/vDSP_Programming_Guide/About_vDSP/About_vDSP.html
http://kodi.wiki/view/Main_Page
https://github.com/vispy/vispy
http://www.keil.com/pack/doc/cmsis/dsp/html/index.html
http://rossant.github.io/galry
Essentia C++ library for audio analysis and audio-based music information retrieval
http://essentia.upf.edu
https://github.com/MTG/gaia
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
http://www.mega-nerd.com/libsndfile/tools/
http://waveformjs.org/
png++,a C++ wrapper for libpng
http://savannah.nongnu.org/forum/forum.php?forum_id=8181
http://www.fftw.org
OhmPie – encode an image to a sound
http://www.ohmpie.com/imageEncode/
http://ajaxsoundstudio.com/pyodoc/index.html
https://github.com/rfielding/DSPCompiler
http://hgomersall.github.io/pyFFTW/index.html
Musly – Audio Music Similarity
http://www.musly.org/
https://docs.python.org/2/library/mm.html
https://docs.python.org/2/library/audioop.html#module-audioop
http://qutecsound.sourceforge.net/
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/
http://www.ee.columbia.edu/~dpwe/resources/matlab/
http://www.projectabjad.org/
http://www.frescobaldi.org/
MELODIA – Melody Extraction vamp plug-in
http://mtg.upf.edu/technologies/melodia
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
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
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/
http://www.vertexdsp.com/index.html
http://www.2caudio.com/
https://github.com/bmcfee/librosa/tree/master/
https://bitbucket.org/acoustid
https://github.com/leebyron/streamgraph
Eye – Python audio data toolkit (ID3 and MP3)
https://pypi.python.org/pypi/eyeD3/
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/
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/
https://github.com/DataSounds
BarbaBatch – professional batch sound file conversion application for Mac OS X.
http://www.audioease.com/Pages/BarbaBatch/
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
https://docs.python.org/2/library/ossaudiodev.html#audio-device-objects
PyMedia – Python library for accessing and manipulating media files
http://pymedia.org/tut/
https://pypi.python.org/pypi/mp3fm
Marsyas – Music Analysis, Retrieval and Synthesis for Audio Signals
https://github.com/marsyas
http://eigen.tuxfamily.org/index.php?title=Main_Page#Projects_using_Eigen
http://pygal.org
http://radioanalyzer.com/
H5py – HDF5 binary data persistence
https://github.com/h5py/h5py
https://github.com/AVbin/AVbin
http://clam-project.org/index.html
http://vamp-plugins.org/
http://www.audiolabs-erlangen.de/fau/professor/mueller/data
http://homepage.univie.ac.at/christian.herbst//python/index.html
http://echoprint.me/
http://www.cityinabottle.org/nodebox/sound/
https://github.com/gluon/AbletonLive9_RemoteScripts
https://github.com/simlmx/pyau
https://github.com/tbertinmahieux/MSongsDB/blob/master/Tasks_Demos/Tagging/top_terms.txt
https://parisson.github.io/Telemeta/
A simple real-time limiter implemented using Python, Cython, Numpy and PyAudio
https://github.com/bastibe/simple-cython-limiter
http://taps.cs.princeton.edu/
https://pypi.python.org/pypi/ffmpegwrapper
Pure Data Computer Music System
http://sourceforge.net/p/pure-data/pure-data/ci/master/tree/mac/
Sound Viewer Tool a fast Python script to get waveform and spectrogram from a sound
http://research.coquipr.com/archives/29
http://en.wikipedia.org/wiki/Moodbar
http://dbtune.org
PyDub – Manipulate audio with a simple and easy high level interface
https://github.com/jiaaro/pydub
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/
http://wiki.hydrogenaud.io/index.php?title=LAME
http://soundlab.cs.princeton.edu/software/
AudioGen – Generator based tools for working with audio clips
https://libraries.io/pypi/audiogen
http://archive.turbulence.org/Works/song/method/method.html
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
https://github.com/mbhenaff/MusicTagging
http://www.pluginboutique.com/categories/25-Spectral-Analysis
http://sourceforge.net/projects/pyalsaaudio/
http://www.fluxhome.com/products/analyzer_modules/pas_spectrum
http://www.vsxu.com/for-artists
SoundSoftware Project – Luis Figueira
https://code.soundsoftware.ac.uk/users/12
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
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