News and Events

21 researchers from the MTG participate to ISMIR 2015
Twenty-one researchers from the MTG participate to this year’s International Society for Music Information Retrieval Conference that takes place in Malaga, Spain, from October 26th to 30th 2015. 
 
These are the papers that will be presented in the regular oral and poster sessions of the conference:
 
Also a number of MTG researchers are involved in a tutorial on Flamenco music and others will be involved in other events of the Conference such as the Late-breaking/Demos sessions or the music concerts.
 
14 Oct 2015 - 12:03 | view
Master thesis from SMC Master 2014-2015
14 Oct 2015 - 11:33 | view
Seminar by Julian O’Kelly on Music Therapy with Prolonged Disorders of Consciousness
14 Oct 2015

Julian O’Kelly, Royal Hospital for Neuro-disability, UK
Wendesday, October 14, 2015, 3:30 pm, room 55.410

Host: Rafael Ramirez

Title: Music Therapy with Prolonged Disorders of Consciousness: in Retrospect and Prospect

Abstract:
Music therapists have been researching the effects of music therapy with those in coma, vegetative and minimally conscious states for over thirty years. This talk will provide an overview of the development of contrasting music therapy approaches during this period, arguing the case for more standardised approaches using concensus nomenclature, and greater dialogue with neuroscience going forward. This perspective has informed the development of two neurophysiological and behavioral studies exploring the effects of music therapy in the assessment and rehabilitation for those with prolonged disorders of consciousness (PDOC). Preliminary findings will be presented from a cross-over study comparing the rehabilitative and prognostic potential of music therapy to preferred text narration, using a range of neurophysiological measures (EEG, heart rate variability, respiration) and video time sampled behavioral data. Findings will be discussed in relation to other models of practice, the complexity of the field of research, and the potential of music therapy as a tool for revealing what intact brain network activity exists in those with PDOC. Reflections will be provided on the relevance of these findings to the UK model of neuro-rehabilitation and the sustainability of music therapy in this competitive market.

14 Oct 2015 - 10:18 | view
II Jornada Música y Medicina - Musicoterapia en Oncología
MTG participa en la II Jornada Música y Medicina. L’Institut Català de Musicoterapia os invita a participar en la 2ª Jornada Música y Medicina, en esta ocasión dedicada a los avances de la Musicoterapia en oncología: “Musicoterapia y cáncer”. En esta jornada científica, que tiene lugar los días 15 y 16 de Octubre en el Parc de Recerca Biomèdica de Barcelona (PRBB).
14 Oct 2015 - 09:46 | view
International Workshop on Quantitative and Qualitative Music Therapy Research
15 Oct 2015
We are organizing the International Workshop on Quantitative and Qualitative Music Therapy Research (Q&QMT 2015). The Workshop will be held at the Universitat Pompeu Fabra, Tanger Building 55.309. The aim of the workshop is to promote fruitful collaboration among researchers, music therapists, musicians, psychologists and physicians who are interested in music therapy and its effects, evaluated by applying quantitative and qualitative methods. The workshop will provide the opportunity to learn about, present and discuss ongoing work in the area. We believe that this is a timely workshop because there is an increasing interest in quantitative and qualitative methods in music therapy. Full details can be found at http://quantitativemusictherapy.weebly.com
14 Oct 2015 - 09:40 | view
New students entering the SMC Master

In this new academic year 2015-2016, twenty new students have joined the Master in Sound and Music Computing.

Angel David Blanco Casares (Spain), Blai Melendez Catalan (Spain), Deniz Saglam (Turkey), Daniele Scarano (Italy), Chaithanya Jade (India), Felipe Loaiciga Espeleta (Costa Rica), Roman Tsukanov (Russia), Pere Calopa Piedra (Spain), Albin Andrew Correya (India), Tomas Jozef Gajecki Somervail (Spain), Pedro Jose Gonzalez Gonzalez (Spain), Konstantinos Patlatzoglou (Greece), Enric Verdaguer Morales (Spain), Javier Arredondo Garrido (Spain), Pablo Fernandez Blanco (Spain), Kosmas Kritsis  (Greece), Pedro Lladó González (Spain), Javier Nistal Hurlle (Spain), Eleftherios Stamellos (Greece), Laia Ermi i Carbonell  (Spain).

9 Oct 2015 - 14:56 | view
New datasets released

We have just released two datasets from two papers that will be presented at ISMIR this year.

The Semantic Artist Similarity dataset consists of two datasets of artists entities with their corresponding biography texts, and the list of top-10 most similar artists within the datasets used as ground truth. The dataset is composed by a corpus of 268 artists and a slightly larger one of 2,336 artists, both gathered from Last.fm. The former is mapped to the MIREX Audio and Music Similarity evaluation dataset, so that its similarity judgments can be used as ground truth. For the latter corpus we use the similarity between artists as provided by the Last.fm API.

Oramas, S., Sordo M., Espinosa-Anke L., & Serra X. (2015). A Semantic-based Approach for Artist Similarity. 16th International Society for Music Information Retrieval Conference.


- FlaBase: A Flamenco Music Knowledge Base

Its ultimate aim is to gather all available online editorial, biographical and musicological information related to flamenco music. Its content is the result of the curation and extraction processes combining several data sources (Wikipedia, MusicBrainz and Flamenco webs). FlaBase is stored in JSON format. This first release of FlaBase contains information about 1,102 artists, 74 palos (flamenco genres), 2,860 albums, 13,311 tracks, and 771 Andalusian locations.

Oramas, S., Gómez F., Gómez E., & Mora J. (2015). FlaBase: Towards the Creation of a Flamenco Music Knowledge Base. 16th International Society for Music Information Retrieval Conference.

7 Oct 2015 - 13:11 | view
The MOOC on Audio Signal Processing for Music Applications starts again

After a successful experiment last year at putting together a MOOC on Audio Signal Processing for Music Applications, the course is offered again in Coursera. It will start on September 21st but the site is already open, with all the video lectures available, and students can start preparing for it. To enrol go to https://www.coursera.org/course/audio

This is a 10 week long course that focuses on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications.

The course is free and based on open software and content. The demonstrations and programming exercises are done using Python under Ubuntu, and the references and materials for the course come from open online repositories. The software and materials developed for the course are also distributed with open licenses.

The course assumes some basic background in mathematics and signal processing. Also, since the assignments are done with the programming language Python, some software programming skills in any language are most helpful. 
 
 
1 Sep 2015 - 09:52 | view
PhD fellowship on Audio-Visual Approaches for Music Information Retrieval

The Music Technology Group (MTG) and the Image Processing Group (GPI) of the Department of Information and Communication Technologies, Universitat Pompeu Fabra in Barcelona are opening a joint PhD fellowship in the topic of “Audio-Visual Approaches for Music Content Description” to start in the Fall of 2015.

Motivation:
Music is a highly multimodal concept, where various types of heterogeneous information are associated to a music piece (audio, musician’s gestures and facial expression, lyrics, etc.). This has recently led researchers to apprehend music through its various facets, giving rise to multimodal music analysis studies (Essid and Richard, 2012).

Goal:
Research on the complementarity of audio and image description technologies to improve the accuracy and meaningfulness of state of the art music description methods. These methods are the core of content-based music information retrieval tasks.

Several standard tasks could benefit from it:

  • Synchronization of audio / video streams
  • Audio-visual quality assessment
  • Structural analysis and segmentation
  • Discovery of repeated themes & sections
  • Automatic video mashup generation
  • Music similarity computation
  • Genre / style classification
  • Artist identification
  • Emotion (mood) characterization
  • Optical music recognition (OMR)

Supervisors: Emilia Gómez (MTG) / Gloria Haro (GPI)

Requirements:
Applicants should have experience in audio and image signal processing, and hold a MSc in a related field (e.g. telecommunications, electrical engineering, mathematics, physics or computer science). Experience in scientific programming (Matlab/Python/C++) and excellent English are essential. Musical background and expertise on multimedia information retrieval are also valuable.

The grant involves teaching assistance, so interest for teaching is also valued.

More information on grant details:
http://www.upf.edu/dtic_doctorate/
http://www.upf.edu/dtic_doctorate/phd_fellowships.html
Provisional starting date: November 2015

Application:
Interested candidates should send a motivation letter, a CV (preferably with references), and academic transcripts to Prof. Emilia Gómez (emilia [dot] gomez [at] upf [dot] edu) and Prof. Gloria Haro (gloria [dot] haro [at] upf [dot] edu) before September 10th. Please include in the subject [PhD Audio-Visual].

They will also have to apply to the PhD program of the DTIC of the UPF.

References
S. Essid and G. Richard, “Fusion of Multimodal Information in Music Content Analysis”. in Meinard Müller, Masataka Goto and Markus Schedl (Eds) “Multimodal Music Processing”, Dagstuhl Follow-ups, volume 3, pp. 37-53, ISBN 978-3-939897-37-8, 2012.
M. Müller, M. Goto and M. Schedl (Eds) “Multimodal Music Processing”, Dagstuhl Follow-ups, volume 3, ISBN 978-3-939897-37-8, 2012.
A. Schindel & A. Rauber. A (2013). Music Video Information Retrieval Approach to Artist Identification, CMMR.
Y.W. Wang, Z. L.Z. Liu, & J.C. Huang. (2000). Multimedia content analysis-using both audio and visual clues. IEEE Signal Processing Magazine, 17(November). doi:10.1109/79.888862
Yue Wu, Tao Mei, Ying-Qing Xu, Nenghai Yu, Shipeng Li, “MoVieUp: Automatic Mobile Video Mashup”, IEEE Transactions on Circuits and Systems for Video Technology, 2015.

6 Aug 2015 - 13:25 | view
Freesound Labs

We have launched a new freesound-related site, Freesound Labs (http://labs.freesound.org).

Freesound Labs is a directory of projects, hacks, apps, research and other initiatives that use content from Freesound or use the Freesound API. You can browse projects using tags and categories, and we plan to add a search functionality in the future.

Our aim is to include in this directory all relevant Freesound powered projects. Hence, if you know of projects that should be listed in this directory and are not yet there, please let us know by sending an email to freesound [at] freesound [dot] org.

27 Jul 2015 - 17:46 | view
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