Traktomizer Learning & Resources

 

Discover some of the latest Audio Analysis Techniques,

See How Algorithms Choose,

Learn About Optimizing Your Audio.

 

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The following resources are also 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

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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 =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
MusiContour: calculate and plot musical contour operations
https://pypi.python.org/pypi/MusiContour/
DBTune.org
http://dbtune.org
OS X System Equalizer
http://www.dctrwatson.com/2011/06/os-x-system-equalizerFF 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=LAMEPrinceton 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