Search Results

Documents authored by Hanjalic, Alan

Document
DOI: 10.4230/DFU.Vol3.11041.195
Music Information Retrieval: An Inspirational Guide to Transfer from Related Disciplines

Authors: Felix Weninger, Björn Schuller, Cynthia C.S. Liem, Frank Kurth, and Alan Hanjalic

Published in: Dagstuhl Follow-Ups, Volume 3, Multimodal Music Processing (2012)

Abstract
The emerging field of Music Information Retrieval (MIR) has been influenced by neighboring domains in signal processing and machine learning, including automatic speech recognition, image processing and text information retrieval. In this contribution, we start with concrete examples for methodology transfer between speech and music processing, oriented on the building blocks of pattern recognition: preprocessing, feature extraction, and classification/decoding. We then assume a higher level viewpoint when describing sources of mutual inspiration derived from text and image information retrieval. We conclude that dealing with the peculiarities of music in MIR research has contributed to advancing the state-of-the-art in other fields, and that many future challenges in MIR are strikingly similar to those that other research areas have been facing.
Cite as

Felix Weninger, Björn Schuller, Cynthia C.S. Liem, Frank Kurth, and Alan Hanjalic. Music Information Retrieval: An Inspirational Guide to Transfer from Related Disciplines. In Multimodal Music Processing. Dagstuhl Follow-Ups, Volume 3, pp. 195-216, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)

Copy BibTex To Clipboard

@InCollection{weninger_et_al:DFU.Vol3.11041.195,
  author =	{Weninger, Felix and Schuller, Bj\"{o}rn and Liem, Cynthia C.S. and Kurth, Frank and Hanjalic, Alan},
  title =	{{Music Information Retrieval: An Inspirational Guide to Transfer from Related Disciplines}},
  booktitle =	{Multimodal Music Processing},
  pages =	{195--216},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-939897-37-8},
  ISSN =	{1868-8977},
  year =	{2012},
  volume =	{3},
  editor =	{M\"{u}ller, Meinard and Goto, Masataka and Schedl, Markus},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DFU.Vol3.11041.195},
  URN =		{urn:nbn:de:0030-drops-34737},
  doi =		{10.4230/DFU.Vol3.11041.195},
  annote =	{Keywords: Feature extraction, machine learning, multimodal fusion, evaluation, human factors, cross-domain methodology transfer}
}
Document
DOI: 10.4230/DFU.Vol3.11041.227
Music Information Technology and Professional Stakeholder Audiences: Mind the Adoption Gap

Authors: Cynthia C.S. Liem, Andreas Rauber, Thomas Lidy, Richard Lewis, Christopher Raphael, Joshua D. Reiss, Tim Crawford, and Alan Hanjalic

Published in: Dagstuhl Follow-Ups, Volume 3, Multimodal Music Processing (2012)

Abstract
The academic discipline focusing on the processing and organization of digital music information, commonly known as Music Information Retrieval (MIR), has multidisciplinary roots and interests. Thus, MIR technologies have the potential to have impact across disciplinary boundaries and to enhance the handling of music information in many different user communities. However, in practice, many MIR research agenda items appear to have a hard time leaving the lab in order to be widely adopted by their intended audiences. On one hand, this is because the MIR field still is relatively young, and technologies therefore need to mature. On the other hand, there may be deeper, more fundamental challenges with regard to the user audience. In this contribution, we discuss MIR technology adoption issues that were experienced with professional music stakeholders in audio mixing, performance, musicology and sales industry. Many of these stakeholders have mindsets and priorities that differ considerably from those of most MIR academics, influencing their reception of new MIR technology. We mention the major observed differences and their backgrounds, and argue that these are essential to be taken into account to allow for truly successful cross-disciplinary collaboration and technology adoption in MIR.
Cite as

Cynthia C.S. Liem, Andreas Rauber, Thomas Lidy, Richard Lewis, Christopher Raphael, Joshua D. Reiss, Tim Crawford, and Alan Hanjalic. Music Information Technology and Professional Stakeholder Audiences: Mind the Adoption Gap. In Multimodal Music Processing. Dagstuhl Follow-Ups, Volume 3, pp. 227-246, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)

Copy BibTex To Clipboard

@InCollection{liem_et_al:DFU.Vol3.11041.227,
  author =	{Liem, Cynthia C.S. and Rauber, Andreas and Lidy, Thomas and Lewis, Richard and Raphael, Christopher and Reiss, Joshua D. and Crawford, Tim and Hanjalic, Alan},
  title =	{{Music Information Technology and Professional Stakeholder Audiences: Mind the Adoption Gap}},
  booktitle =	{Multimodal Music Processing},
  pages =	{227--246},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-939897-37-8},
  ISSN =	{1868-8977},
  year =	{2012},
  volume =	{3},
  editor =	{M\"{u}ller, Meinard and Goto, Masataka and Schedl, Markus},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DFU.Vol3.11041.227},
  URN =		{urn:nbn:de:0030-drops-34759},
  doi =		{10.4230/DFU.Vol3.11041.227},
  annote =	{Keywords: music information retrieval, music computing, domain expertise, technology adoption, user needs, cross-disciplinary collaboration}
}
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact