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https://ceur-ws.org/Vol-2327/IUI19WS-MILC-0.pdf
Preface to the 2nd Workshop on Intelligent Music
Interfaces for Listening and Creation (MILC)
Peter Knees Markus Schedl Rebecca Fiebrink
TU Wien, Faculty of Informatics Johannes Kepler University Goldsmiths, University of London
Vienna, Austria Linz, Austria London, UK
peter.knees@tuwien.ac.at markus.schedl@jku.at r.fiebrink@gold.ac.uk
ABSTRACT applications allow users to navigate the virtually endless
Today’s music ecosystem is permeated by digital technology spaces of music repositories. Both ends of the music mar-
– from recording to production to distribution to consump- ket therefore heavily rely on and benefit from intelligent
tion. Intelligent technologies and interfaces play a crucial approaches that enable users to access sound and music in
role during all these steps. Following the successful first edi- unprecedented manners. This ongoing trend draws from
tion held at IUI 2018, the second workshop on Intelligent manifold areas such as interactive machine learning, music
Music Interfaces for Listening and Creation (MILC) at IUI information retrieval (MIR), recommender systems, human
2019 provides a forum for the latest developments and trends computer interaction, and user adaptive systems, to name
in intelligent interfaces for music consumption and produc- but a few prominent examples.
tion by bringing together researchers from areas such as Following the successful first edition held at IUI 2018 [3],
music information retrieval, recommender systems, inter- the 2nd Workshop on Intelligent Music Interfaces for Listen-
active machine learning, human-computer interaction, and ing and Creation (MILC 2019)1 at IUI 2019 brings together
composition. researchers from these communities and provides a forum
for the latest trends in user-centric machine learning and
CCS CONCEPTS interfaces for music consumption and creation [4].
• Applied computing → Sound and music computing; • Informa- The workshop received 10 submissions (4 long and 6 short
tion systems → Multimedia and multimodal retrieval; • Human-
or demo papers), of which overall 6 were accepted (60%; 2
centered computing → Human computer interaction (HCI).
long papers and 4 short or demo papers) after review of each
KEYWORDS by at least 3 members of the program committee (see sec. 4).
Music Listening, Music Creation, Intelligent User Interfaces The accepted papers span the topics of music education,
ACM Reference Format: access to sound through browsing and recommendation, in-
Peter Knees, Markus Schedl, and Rebecca Fiebrink. 2019. Preface to the teractive sound generation, discovery of interesting sections
2nd Workshop on Intelligent Music Interfaces for Listening and Creation in generated music, and web-based demonstration of mu-
(MILC). In Joint Proceedings of the ACM IUI 2019 Workshops, Los Angeles, sical machine learning. In the workshop keynote speech,
USA, March 20, 2019 , 2 pages.
Masataka Goto presents intelligent music interfaces based
on music signal analysis and demonstrates how end users can
1 WORKSHOP DESCRIPTION
benefit from automatic music-understanding technologies.
Intelligent technologies and interfaces play a crucial role in
today’s music ecosystem – from recording to production to 2 ACCEPTED PAPERS
distribution to consumption. On the creation side, tools and In the area of music education, Pauwels and Sandler present
interfaces like new sensor-based musical instruments or soft- a web-based system for suggesting new practice material
ware like digital audio workstations (DAWs) and sound and based on chord content [5]. To facilitate access to sound
sample browsers support creativity. Generative systems can repositories, Bruford et al. propose a visual interface for drum
support novice and professional musicians by automatically loop library navigation [1] while Smith et al. explore a hybrid
synthesizing new sounds or even new musical material. On recommendation system [6]. Carr and Zukowski propose a
the consumption side, tools and interfaces such as recom- tool for discovery of interesting sections in large volumes of
mender systems, automatic radio stations, or active listening audio generated by neural synthesis [2]. Thio et al. present a
template designed to demonstrate symbolic musical machine
IUI Workshops’19, March 20, 2019, Los Angeles, USA learning models on the web [8]. Stine presents an interactive
© 2019 Copyright ©2019 for the individual papers by the papers’ authors. sound generator based on mappings from the transcriptions
Copying permitted for private and academic purposes. This volume is pub- of environmental sounds to other sound corpora, thereby
lished and copyrighted by its editors.
1 https://milc2019.github.io
IUI Workshops’19, March 20, 2019, Los Angeles, USA Peter Knees, Markus Schedl, and Rebecca Fiebrink
creating immersive electronic music [7]. Talks given by the e.g., on Human Centred Machine Learning at CHI 2016 and
presenters are complemented by a hands-on demo session. 2019, Mixed-Initiative Creative Interfaces at CHI 2017, Ma-
chine Learning for Creativity and Design at NIPS 2017 and
3 ORGANIZERS 2018, and MILC at IUI 2018.
Peter Knees is an assistant professor of the Faculty of Webpage: https://www.doc.gold.ac.uk/~mas01rf/
Informatics, TU Wien, Austria. In the past 15 years, he has
been an active member of the Music Information Retrieval 4 PROGRAM COMMITTEE
research community, reaching out to the related areas of
• Baptiste Caramiaux, IRCAM
multimedia, text IR, and recommender systems. Apart from
• Mark Cartwright, NYU
serving on program committees of major conferences in
• Bruce Ferwerda, Jönköping University
these fields, he has previously organized several workshops
• Fabien Gouyon, Pandora Inc.
on the topics of media retrieval: Advances in Music Informa-
• Masataka Goto, AIST
tion Research (AdMIRe) series from 2009 to 2012, Adaptive
• Dietmar Jannach, AAU Klagenfurt
Multimedia Retrieval (AMR) in 2010, Workshop on Social
• Vikas Kumar, University of Minnesota
Media Retrieval and Analysis (SoMeRA) at SIGIR 2014 and
• Cárthach Ó Nuanáin, melodrive Inc.
ICDM 2015, Workshop on Collaborating with Intelligent Ma-
• Adam Roberts, Google
chines: Interfaces for Creative Sound at CHI 2015, Workshop
• Gabriel Vigliensoni, McGill University
on Surprise, Opposition and Obstruction in Personalized and
• Richard Vogl, TU Wien
Adaptive Systems (SOAP) at UMAP 2016 and 2017, 1st MILC
workshop at IUI 2018, and 1st Austrian Workshop on Music ACKNOWLEDGMENTS
Information Retrieval (2018).
Peter Knees acknowledges support by the Austrian Research
Webpage: https://www.ifs.tuwien.ac.at/~knees/
Promotion Agency (FFG project no. B1-858514, SmarterJam).
Markus Schedl is an associate professor at the Institute
of Computational Perception of the Johannes Kepler Uni- REFERENCES
versity Linz. His main research interests include web and [1] Fred Bruford, Mathieu Barthet, SKoT McDonald, and Mark Sandler.
2019. Groove Explorer: An Intelligent Visual Interface for Drum Loop
social media mining, recommender systems, information
Library Navigation. In Joint Proceedings of the ACM IUI 2019 Workshops,
retrieval, multimedia, and music information research. He March 20, 2019, Los Angeles, USA. CEUR-WS.
(co-)authored more than 200 refereed conference papers and [2] CJ Carr and Zack Zukowski. 2019. Curating Generative Raw Audio Mu-
journal articles. He can look back at a history of workshop sic with D.O.M.E.. In Joint Proceedings of the ACM IUI 2019 Workshops,
co-organization activities, i.e., the Advances in Music In- March 20, 2019, Los Angeles, USA. CEUR-WS.
[3] Peter Knees, Markus Schedl, and Rebecca Fiebrink. 2018. IUI’18 Work-
formation Research (AdMIRe) series (2009-2012), Adaptive
shop on Intelligent Music Interfaces for Listening and Creation (MILC).
Multimedia Retrieval (AMR) in 2010, Search and Mining In Joint Proceedings of the ACM IUI 2018 Workshops, March 11, 2018,
User-generated Contents (SMUC) in 2011, Workshop on So- Tokyo, Japan. Vol-2068. CEUR-WS.
cial Media Retrieval and Analysis (SoMeRA) at SIGIR 2014 [4] Peter Knees, Markus Schedl, and Rebecca Fiebrink. 2019. Intelligent
and ICDM 2015, Theory-Informed User Modeling for Tailor- Music Interfaces for Listening and Creation. In 24th International Con-
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ing and Personalizing Interfaces (HUMANIZE) at IUI 2017,
20, 2019, Marina del Rey, CA, USA. ACM, New York, NY, USA. DOI:
1st MILC at IUI 2018, and 1st Austrian Workshop on Music https://doi.org/10.1145/3308557.3313110
Information Retrieval (2018). [5] Johan Pauwels and Mark Sandler. 2019. A Web-Based System For
Webpage: http://www.cp.jku.at/people/schedl/ Suggesting New Practice Material To Music Learners Based On Chord
Content. In Joint Proceedings of the ACM IUI 2019 Workshops, March
Rebecca Fiebrink is a Senior Lecturer at Goldsmiths, 20, 2019, Los Angeles, USA. CEUR-WS.
University of London. Much of her research focuses on the [6] Jason Smith, Dillon Weeks, Mikhail Jacob, Jason Freeman, and Brian
use of machine learning as a creative tool. Fiebrink is the Magerko. 2019. Towards a Hybrid Recommendation System for a
Sound Library. In Joint Proceedings of the ACM IUI 2019 Workshops,
developer of the Wekinator, open-source software for real-
March 20, 2019, Los Angeles, USA. CEUR-WS.
time interactive machine learning whose current version [7] Eli Stine. 2019. Creating Immersive Electronic Music from the Sonic
has been downloaded over 20,000 times. She is the creator Activity of Environmental Soundscapes. In Joint Proceedings of the
of a MOOC titled “Machine Learning for Artists and Musi- ACM IUI 2019 Workshops, March 20, 2019, Los Angeles, USA. CEUR-WS.
cians,” which launched in 2016 on the Kadenze platform. She [8] Vibert Thio, Hao-Min Liu, Yin-Cheng Yeh, and Yi-Hsuan Yang. 2019.
A Minimal Template for Interactive Web-Based Demonstrations of
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and Cognition, ISMIR, and others, and has co-Chaired the Workshops, March 20, 2019, Los Angeles, USA. CEUR-WS.
International Conference on New Interfaces for Musical Ex-
pression. She has previously led several related workshops,