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

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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
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

 

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

Twitter sentiment analysis using Python and NLTK

Music APIs | Music Machinery

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