BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//MCAA//Marie Curie Alumni//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:event-23971@www.mariecuriealumni.eu
DTSTAMP:20260922T203205Z
DTSTART:20210513T220000Z
DTEND:20210514T215959Z
SUMMARY:Meet My lab: 'Mathematics and Music - A Synergetic Duo for Automati
 c Music Generation'
DESCRIPTION:In its more than 60 year history\, music generation systems hav
 e never been more popular than today. In this talk\, Prof. Dorien Herrema
 ns will give a brief history of the unique field of algorithmic compositi
 on. While there are a number of systems out there\, two main challenges r
 emain: how do we integrate emotion as well as ensure long term structure 
 in musical pieces. It should come at no surprise that music and emotion a
 re intrinsically connected. Yet\, computer systems still struggle to trul
 y capture emotion. Secondly\, while many systems can compose short fragme
 nts that sound well\, the real challenge is to create complete\, longer p
 ieces of music with patterns and themes. The MorpheuS system\, a hybrid m
 achine learning system developed by Prof. Dorien during her MSCA fellowsh
 ip with Prof. Elaine Chew\, tackles these two challenges. In this talk we
  will dive into the inner workings of MorpheuS\, as well as listen to a n
 umber of generated fragments performed by Prof. Elaine Chew. Finally\, we
  will discuss some recent advances in the field and what respective labs 
 are currently working on.What is this?â€˜Meet my Labâ€™ is a virtual meet
 ing point profiling researchers and their work. The presenters will share
  their research work and present opportunities for collaboration. The foc
 us is on interactivity - audience members can ask questions and engage wi
 th the presenter(s) and with each other.Who can participate?Meet my Labâ€
 ™ is explicitly open to the world! We welcome researchers at all career s
 tages and of all nationalities.Participants should have an interest in in
 ternational research collaboration!Participation is free of charge. Seats
  will be allocated on a first come first served basis.***Short synopsis o
 f respective work and collaborative workDorien Herremans&#039\; recent wo
 rk has focused on creating controllable music generation systems using de
 ep learning technologies. One challenge in particular - generating music 
 with steerable emotion - has been central in her research. When it comes 
 to affect and emotion\, computer models still do not compare to humans. U
 sing affective computing techniques and deep learning\, Dorien&#039\;s te
 am has built models that learn to predict perceived emotion from music. T
 hese models are then used to generate new fragments in a controllable man
 ner\, so that users can steer the desired arousal/valence level or tensio
 n in newly generated music. Other challenges tackled by Dorien&#039\;s te
 am include ensuring repeated themes in music\, automatic music transcript
 ion\, and novel music representations.Elaine Chew&amp\;nbsp\;is known for
  inventing the spiral array model\, a geometric representation for tonali
 ty. Her research focuses on the mathematical and computational modelling 
 of musical structures in music\, with special interest in expressive perf
 ormance\, and electrocardiographic sequences. Applications include modell
 ing of music performance\, AI music generation\, music-heart-brain intera
 ctions\, and computational arrhythmia research. She is author of numerous
  academic publications and centre of one of 9 publication clusters having
  â‰¥5 women in the international Music Information Retrieval community (I
 SMIR 2016 infometric study). As a pianist\, she integrates her research i
 nto concert-conversations that showcase scientific visualisations and lab
 -grown compositions.Together\, Herremans and Chew worked on the MorpheuS 
 automatic music composition system. To guide MorpheuS&#039\; music genera
 tion\, they designed and implemented a harmonic tension model based on th
 e spiral array. The system learns rhythms and harmonic tension profiles f
 rom a template piece to generate music with long term structure. MorpheuS
 &#039\; creations have been featured on Channel News Asia&#039\;s televis
 ion program on &quot\;Algorithms: Part 1 - Rage Against The Machine&quot\
 ;\, where it was pitted against a human composer and had its output (base
 d on the first of Three Pieces for String Quartet by Stravinsky) performe
 d by members of the Singapore Symphony Orchestra. Chew has also performed
  MorpheuS pieces at concerts in venues in Cambridge (MA)\, London\, San F
 rancisco\, and Stanford.&amp\;nbsp\;\nRead more: https://www.mariecurieal
 umni.eu/events/meet-my-lab-mathematics-and-music-synergetic-duo-automatic
 -music-generation
X-ALT-DESC;FMTTYPE=text/html:<!DOCTYPE html><html><body>In its more than 60
  year history, music generation systems have never been more popular than
  today. In this talk, Prof. Dorien Herremans will give a brief history of
  the unique field of algorithmic composition. While there are a number of
  systems out there, two main challenges remain: how do we integrate emoti
 on as well as ensure long term structure in musical pieces. It should com
 e at no surprise that music and emotion are intrinsically connected. Yet,
  computer systems still struggle to truly capture emotion. Secondly, whil
 e many systems can compose short fragments that sound well, the real chal
 lenge is to create complete, longer pieces of music with patterns and the
 mes. The MorpheuS system, a hybrid machine learning system developed by P
 rof. Dorien during her MSCA fellowship with Prof. Elaine Chew, tackles th
 ese two challenges. In this talk we will dive into the inner workings of 
 MorpheuS, as well as listen to a number of generated fragments performed 
 by Prof. Elaine Chew. Finally, we will discuss some recent advances in th
 e field and what respective labs are currently working on.What is this?â€
 ˜Meet my Labâ€™ is a virtual meeting point profiling researchers and thei
 r work. The presenters will share their research work and present opportu
 nities for collaboration. The focus is on interactivity - audience member
 s can ask questions and engage with the presenter(s) and with each other.
 Who can participate?Meet my Labâ€™ is explicitly open to the world! We we
 lcome researchers at all career stages and of all nationalities.Participa
 nts should have an interest in international research collaboration!Parti
 cipation is free of charge. Seats will be allocated on a first come first
  served basis.***Short synopsis of respective work and collaborative work
 Dorien Herremans&amp;#039; recent work has focused on creating controllab
 le music generation systems using deep learning technologies. One challen
 ge in particular - generating music with steerable emotion - has been cen
 tral in her research. When it comes to affect and emotion, computer model
 s still do not compare to humans. Using affective computing techniques an
 d deep learning, Dorien&amp;#039;s team has built models that learn to pr
 edict perceived emotion from music. These models are then used to generat
 e new fragments in a controllable manner, so that users can steer the des
 ired arousal/valence level or tension in newly generated music. Other cha
 llenges tackled by Dorien&amp;#039;s team include ensuring repeated theme
 s in music, automatic music transcription, and novel music representation
 s.Elaine Chew&amp;amp;nbsp;is known for inventing the spiral array model,
  a geometric representation for tonality. Her research focuses on the mat
 hematical and computational modelling of musical structures in music, wit
 h special interest in expressive performance, and electrocardiographic se
 quences. Applications include modelling of music performance, AI music ge
 neration, music-heart-brain interactions, and computational arrhythmia re
 search. She is author of numerous academic publications and centre of one
  of 9 publication clusters having â‰¥5 women in the international Music I
 nformation Retrieval community (ISMIR 2016 infometric study). As a pianis
 t, she integrates her research into concert-conversations that showcase s
 cientific visualisations and lab-grown compositions.Together, Herremans a
 nd Chew worked on the MorpheuS automatic music composition system. To gui
 de MorpheuS&amp;#039; music generation, they designed and implemented a h
 armonic tension model based on the spiral array. The system learns rhythm
 s and harmonic tension profiles from a template piece to generate music w
 ith long term structure. MorpheuS&amp;#039; creations have been featured 
 on Channel News Asia&amp;#039;s television program on &amp;quot;Algorithm
 s: Part 1 - Rage Against The Machine&amp;quot;, where it was pitted again
 st a human composer and had its output (based on the first of Three Piece
 s for String Quartet by Stravinsky) performed by members of the Singapore
  Symphony Orchestra. Chew has also performed MorpheuS pieces at concerts 
 in venues in Cambridge (MA), London, San Francisco, and Stanford.&amp;amp
 ;nbsp;<br/><a href="https://www.mariecuriealumni.eu/events/meet-my-lab-ma
 thematics-and-music-synergetic-duo-automatic-music-generation" hreflang="
 en">Read more</a></body></html>
URL:https://www.mariecuriealumni.eu/events/meet-my-lab-mathematics-and-music-synergetic-duo-automatic-music-generation
END:VEVENT
END:VCALENDAR