Les algorithmes : entre quotidien et créativité par Vincent FAVRAT et Pierre LEBECQUE, Musimap,...
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Transcript of Les algorithmes : entre quotidien et créativité par Vincent FAVRAT et Pierre LEBECQUE, Musimap,...
Jeudi 25 juin
Les algorithmes : entre quotidien et créativité
Prof. Samuel NICOLAY et son équipe, ULg – Mathématique
Gregory REICHLING, Citius Engineering
Vincent FAVART, Musimap
25th%June%2015%
%
LIEGE%CREATIVE%%
%%
%
INTRODUCING%MUSIMAP%%
DISRUPTIVE%SENSITIVE%INTELLIGENCE%TECHNOLOGY%FOR%THE%MUSIC%INDUSTRY%
%%
Vincent%Favrat%–%%COO%
Pierre%Lebecque%–%Head%of%research
©"2015"Musimap"SA"
What:"disrup3ve"music"technology"using"mul3>layered"intelligence"algorithm"""
Concept:% emulates" the" complexity" of" human" brain" func3oning" towards" music" and"decodes"consumers’"personal"tastes"""
Strengths:% bring" personalized" music" recommenda3ons" to" unprecedented" relevance"level"for"enhanced"musical"experiences.""%
Product:% 4" interrelated" APIs" with" music" recommenda3on," music" mapping" solu3ons,"intui3ve"2D>3D"discovery"and"naviga3ons"tools,"social"networks"implementa3on,"digital"shop"and"streaming"configura3ons""
Sales%points:%innova3ve"solu3ons"to"help"content"industry"companies"market"advanced"music" applica3ons" to" beNer" exploit" their" catalogues," increase" the" market" and" their"respec3ve"shares""
The%company
ObjecSve:%become%a%leading%one%stop%shop%of%intelligence%music%services%and%sell%API%or%company%to%key%market%player%
• Major"shiP"towards"fully"digi3zed"music"industry"(5,9Bn"$)"enabled"by"technological"convergence""
"• 61%"of"internet"users"license"digital"music"services""• Digital"market"growth:"streaming"breakthrough"(+51,3%"in"2013"="1Bn$)""
""
"
Music%Market%
source:"Ifpi"digital"report"2013"
! Clear%momentum%with%a%major%ShiV%to%digital%and%streaming%%
1st%compeSSve%phase%closed:%"• similar"catalogue"of"+>"20M"
tracks"• 5%"online"tracks"="90%"online"
sales"/"streams"""
New%compeSSve%phase:%"• exploit"untapped"95%""• guide"users"to"consume"more"
music"according"to"their"tastes""
Market%need:%search%engine%as%compeSSve%advantage%in%B2C%
! Musimap%aims%to%meet%this%challenge!%
StaSsScs
RecommendaSon:%staSsScs%vs.%personalizaSon%
20+%M%tracks% Providers% 2BN%Consumers
Individual%tastes%%PersonnalizaSon%
! In%culture,%personnalizaSon%is%the%key%to%grow%sales!%%
PotenSal%licensors%"Music%providers%" Music%industry%"
""
Others%%""
Social%Media%%""
Media%groups%" Search%Engines%%
! AppeSte%proof%already%secured%
%
Olivier%Lebeau%:%head%of%markeSng%%
>"""25"years"of"experience"in"the"music"industry"
>"""Marke3ng"Director"at"EMI"France">"""general"manager"of"Roadrunner"France"
>"""A&R"director"at"Naïve"Records">"""ESLSCA"Business"degree"in"marke3ng%
Vincent%Favrat%:%COO%%
> Managing"director"of"Just"Tempta3on"(leader"in"film"music"investment"in"con3nental"Europe)"
> Secretary"General"at"Suisse"Music"Union"
> Press"manager"at"the"Montreux"Jazz"Fes3val"
> MBA"in"culture"management"at"the"EAC"(France)"""
%
%Pierre%Lebecque:%head%of%research%%
> Degree"in"Sociology"(communica3on)"and"Musicology,"Ph.D"on"Musical"Morphing,"Université"de"Louvain"La"Neuve"
> 25"years"experience"as"a"sound"designer"for"Film,"TV"show"producer"> Produc3on"Director,"Canal+"Belgique"/"Nwave"pictures""
Frederic%Notet%:%chief%technical%officer%%
> TPM"for"Thalys"and"Eurostar""> Specialist"in"database"and"networking"> Appren3ceship"programming"languages""> Studied"Music"direc3on"(+"composi3ons"+"theory)"@"Conservatoire"
Royal"de"Musique"de"Bruxelles"
"
The%Team
! Musimap%counts%on%an%experienced%team%and%30%musicologists%and%30%music%experts%contributed%to%its%technology%
Hard%sciences%meets%soV%sciences:%dealing%with%emoSons,%%relaSons,%influences%%and%contexts
! Increased%accuracy%for%all%types%of%data,%e.g.%genres%
Alg
orith
m
I kno
w y
ou
Weighted Comparison algorithm
Original track
Track : % Level of importance
- Keywords +- 40%- priority
- Musical styles Influences- potential fuzz
- Other keywords +- 10%- BPM- Rhythmic structure
------------------------------------------------------------------------------------------------------------------------------------
- Main key +- 5 %- Number of musicians +- 2 %- Instruments similarity +- 2 %- Hit-Parade / Best Of Jury / Live +- 0.5 %- Moods / Rhythmic moods +- 35 %
- potential fuzz- Bandwidth +- 2 %- Date and Place of recording +- 0.5 %- Lyrics +- 1 %- Languages +- 1 %- Artists influences +- 1%
AutomaticSimil
CustomSimil
- Tracks i owne (MyMap)- Tracks i like (Favorites, Playlists, Recommandations,…)- Styles i like (Favorites,…)- Artists i like- Blindtests i play- ... Four%chapters%:%
%
1)"Lexicology"
2)"Musicology"
3)"Emo3ons"
4)"Proper3es""
Database%and%items%calibraSon%%
! EmoSonnal%descripSon%and%lexicodmusicolgy%of%Musimap%%%%%%%%in%size%and%in%quality%
Data% Musimap%
Musicological"parameters" 50""
Complex"Moods"" 500"
Genres"" 390"
Key"words" 1715"
Contextual"analysis" 100"
Items"proper3es"" 10088""
Rela3onships"" 667’727’351"
En33es"(genres,"ar3stes,"albums,"tracks,"releases,"performances,"influences)""
187’287’643""
Algorithm"with"55"weighted"variables"(mul3>layers"cross>influences"matrix""with"advanced"lexicology)""
=%%
Music%brain%with%1B%synapses%(growing%to%5B)%"
with"""
• 2D"&"3D"innova3ve"and"intui3ve"naviga3on"and"discovery"tools%
"
• Personnalized"music"profiling""
• Complex"moods"integrated"in"recommanda3ons"