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PhD and postdoc positions in my lab

There are some open PhD & postdoc positions for people interested in working in my lab. As the deadline as very tight, please contact me if interested!

Postdoc:

The catalan government is opening a call for post-doc researchers to join catalan universities. It is called Beatriu de Pinós program.

Requirements:

  • Have a PhD between 01/01/2009 and 31/12/2014 (even later)
  • Minimum of 2 years of postdoctoral experience outside Spain.
  • Not living in Spain more than 12 months in the lsat 3 years.

Conditions:

  • 2 years duration that can be extended 1 more year. Starting before January 1st 2018.
  • ~ 32.800 EUR / year + 6.000 EUR for supporting research

Deadline: 01/12/2016

More info here.

PhD: Our Department is a hosting institution within the INPhINIT “la Caixa” Fellowships Programme (57 grants), and there are several proposals supervised by MTG researchers, two of them co-supervised by me on the following topics:

Conditions and instructions for application are explained here and the deadline for applications in February 2nd.

 

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Women in Music IR – 2016

I am very happy to take part at the WiMIR community, a group of people within the International Society for Music Information Retrieval dedicated to promoting the role of, and increasing opportunities for, women in the MIR field. We meet to socialize, share information, and discuss in an informal setting, with the goal of building a community around women in our field.

For 2016, there are many things happening for the first time this year:

And this is only the start….. I am really happy to belong to this community 🙂

Do you like it? then join us!
IMG_2947Photo taken with ISMIR organizers at
WiMIR meeting in ISMIR2014, Taipei, Taiwan

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Paper on melodic similarity in flamenco now online

Our paper on melodic similarity is finally online! The paper is titled

Melodic Contour and Mid-Level Global Features Applied to the Analysis of Flamenco Cantes

This work focuses on the topic of melodic characterization and similarity in a specific musical repertoire: a cappella flamenco singing, more specifically in debla and martinete styles. We propose the combination of manual and automatic description. First, we use a state-of-the-art automatic transcription method to account for general melodic similarity from music recordings. Second, we define a specific set of representative mid-level melodic features, which are manually labelled by flamenco experts. Both approaches are then contrasted and combined into a global similarity measure. This similarity measure is assessed by inspecting the clusters obtained through phylogenetic algorithms and by relating similarity to categorization in terms of style. Finally, we discuss the advantage of combining automatic and expert annotations as well as the need to include repertoire-specific descriptions for meaningful melodic characterization in traditional music collections.

This is the result of a joint work of the COFLA group, where I am contributing with tecnologies for the automatic transcription and melody description of music recordings.

This is an example on how we compare flamenco tonás using melodic similarity and phylogenetic trees:

nnmr_a_1174717_f0007_b

And this is a video example of the type of styles we analyze in this paper, done by Nadine Kroher based on her work at the MTG:

You can read the full paper online:

http://www.tandfonline.com/doi/full/10.1080/09298215.2016.1174717

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FAST project: Acoustic and semantic technologies for intelligent music production and consumption

Yesterday I arrived from Paris, where I attended, as Advisory Board member, a meeting of the FAST Project (www.semanticaudio.ac.uk).

FAST-IMPACT stands for “Fusing Acoustic and Semantic Technologies for Intelligent Music Production and Consumption” and it is funded by EPRSC, Engineering and Physical Sciences Research Countil, UK with 5,199,944 £ (side note: OMG this is real funding, they should know at the new Spanish Agencia Estatal para la Investigación)

According to their web site, This five-year EPSRC project brings the very latest technologies to bear on the entire recorded music industry, end-to-end, producer to consumer, making the production process more fruitful, the consumption process more engaging, and the delivery and intermediation more automated and robust. It addresses three main premises:

(i) that Semantic Web technologies should be deployed throughout the content value chain from producer to consumer;

(ii) that advanced signal processing should be employed in the content production phases to extract “pure” features of perceptual significance and represent these in standard vocabularies;

(iii) that this combination of semantic technologies and content-derived metadata leads to advantages (and new products and services) at many points in the value chain, from recording studio to end-user (listener) devices and applications.

The project is leaded by Dr Mark Sandler, Queen Mary University of London, and include as project participants University of Nottingham (leaded by Dr. Steve Benford), University of Oxford (leaded by Dr. David Deroure), Abbey Road Studios, BBC R&D, The Internet Archives, Microsoft Research and Audiolaboratories Eerlangen.

The results for this first year are amazing, as it can bee seen on the web, in terms of publication, scientific and technological outcomes but more important, great and inspiring ideas!

I am honoured to be part of the advisory board with such excellent researchers and contribute to the Project as much as I can. Some photos of the meeting:

 

 

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Mujer, ciencia y tecnología

Recientemente he recibido bastantes noticias sobre mujeres en español e inglés, y he pensado ponerlas todas en un blog: https://womenict.wordpress.com/

I have recently got many news about women and technology in spanish and english and I decided to start a blog on that. Feel free to follow! https://womenict.wordpress.com/

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Media Monday

Last Monday I had the chance of speaking about my work and the PHENICX project at two different forums.

  • In the morning, I was interviewed at the program “Longitud de Onda”, Radio Clássica, Spanish National Radio (Radio Nacional de España):  “Cómo la tecnología nos acerca a la música clásica” – “How technology approaches us to classical music”
    You can hear the interview (in Spanish) at Min.16:20

¿Se imaginan que mientras asisten a un concierto pueden tener un programa de mano hecho a medida? Hoy hablamos de analizar la música para sacar provecho de esa información y diseñar programas o aplicaciones que hagan más accesible la música para todos.

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  • In the evening, I was interviewed at the TV program l’Illa de Robinson, El Punt Avui TV. I presented the PHENICX project and how technologies can change the way we experience classical music concerts. You can check the video here.

ElPuntAvuiTV

 

 

 

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CfP: Multimedia Technologies for Enriched Music Performance, Production, and Consumption

Publication: Jan. Mar. 2017
Submission deadline: Feb. 1st 2016

Screen Shot 2015-12-03 at 11.50.49

I am co-editing, together with my colleagues Cynthia Liem and George Tzanetakis,  a special issue on IEEE Multimedia related to music.

Internet access, mobile devices, social networks, and automated multimedia technologies enabling sophisticated information analysis and access have radically changed the ways in which people find entertainment, discover new interests, and generally express themselves online — seemingly without any physical or social barriers. Thanks to the increasing affordability of sensing, storage, and sharing, we note that information takes increasingly rich and hybrid multimedia forms, in which multimodal information streams co-occur in various social consumption settings.

This phenomenon also has enabled opportunities in the music domain. In music performance, novel opportunities for expression are found, exploiting (live) analysis and novel interaction mechanisms with musical data in multiple modalities. In music production, sophisticated multimedia data analysis techniques can both lead to more efficient and scalable workflows, as well as richer and better interfaces. In music consumption, the music data richness and its contextual and social embedding lead to novel consumer experiences stimulating music appreciation. Concerts turn into multimodal, multiperspective, and multilayer digital artifacts that can be easily explored, customized, personalized, (re)enjoyed and shared among various types of users; similar notions and opportunities hold for the consumption of general music recordings.

The goal of this special Issue is to gather state-of-the-art research on multimedia methods and technologies aimed at enriching music performance, production and consumption. We solicit novel, original work that is not published or under review elsewhere.

Topics of interest include, but are not limited to:

  • Processing of multimodal music data streams (e.g. audio, video, images, score, text, gesture…) for music performance, production and/or consumption
  • Multimedia content description and indexing for music performance, production and/or consumption
  • Multimedia information retrieval methods for music performance, production and/or consumption
  • Novel interaction mechanisms for music performance, production and/or consumption
  • Novel user interfaces for music performance, production and/or consumption
  • Novel user experience paradigms for music performance, production and/or consumption
  • Social networking and sharing for music performance, production and/or consumption
  • Digital mechanisms for remote music performers and audiences
  • Active listening, audience immersion, and inclusion of new music audiences
  • User-awareness, personalization and intent in music performance, production and/or consumption
  • Context-awareness and automatic context adaptation in music performance, production and/or consumption

Submission Guidelines

See www.computer.org/web/peer-review/magazines. Submissions should not exceed 6,500 words, with each table and figure counting for 200 words. Manuscripts should be submitted electronically (https://mc.manuscriptcentral.com/mm-cs), selecting this special issue option.

Guest Editors

Detailed call for papers

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PHENICX prototype ready to use!

In the EU-funded research project PHENICX, we have developed a prototype with which you can learn more about and enjoy classical music. It contains innovative features to visualize and explore pieces of classical music. The objective of PHENICX is to make classical music more attractive to a larger audience by means of technology. The prototype is the result of a collaboration between an orchestra, research institutes, universities, and online video application developers. I would like to invite you to try it out!

Go to http://www.surveygizmo.com/s3/2383491/phenicx-web  and follow the instructions to start participating!

FB_PHENICX

 

Are you curious? I would much appreciate your input. Trying out the prototype and filling in a questionnaire will take you more or less half an hour. If you do, you have the chance to win a €50 (1x), €25 (2x), or €10 (5x) gift certificate. So please try out the prototype and support our research by answering a number of questions!

 

 

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Computational models of symphonic music: challenges and opportunities

mcm2015-poster

This is the title of my keynote speech yesterday at the Mathematics and Computation in Music Conference that is taking place in London this week. I presented our work in the PHENICX project I am coordinating to apply MIR technologies to symphonic repertoire. This is the abstract:

An orchestral classical concert embraces a wealth of musical information, which may not be easily perceived or understood for general audiences. Current machine listening and visualization technologies can facilitate the appreciation of distinct musical facets, contributing to innovative and more enjoyable concert experiences. This presentation provides an overview of the challenges and opportunities that symphonic music poses for these technologies. We will summarize our current efforts in the improving of state-of-the-art methods for melody extraction, structural analysis, source separation when applied to this particular repertoire. Special emphasis will be given to the combination of symbolic, audio and gestural music descriptors, and to the development of meaningful visualizations designed to be exploited in off-line and live concert situations.

Among other things, I presented the work we carried out in Seville for the Exponential Prometheus opening concert of the Singularity Summit Spain, Seville, March 12th 2015.

This is a video of the event which illustrates our work in the phenicx project.

It was featured in the DIGITAL AGENDA FOR EUROPE.

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Keynote speech at the 3rd International Workshop on Folk Music Analysis

Image

Tomorrow June 6 at 15:00 I will be giving my first keynote speech at the 3rd FMA workshop in Amsterdam. I am honored for that!

I will talk about the state of the state of the art and challenges of automatic music transcription and description technologies and I will illustrate it with some examples of the projects I have been involved in and research from other institutions. I hope the audience will enjoy it!

Keynote talk: Towards Computer-Assisted Transcription and Description of Music Recordings
By Dr. Emilia Gómez (Universitat Pompeu Fabra)

Abstract
Automatic transcription, i.e. computing a symbolic musical representation from a music recording, is one of the main research challenges in the field of sound and music computing. For monophonic music material the obtained transcription is a single musical line, usually a melody, and in polyphonic music there is an interest in transcribing the predominant melodic line. In addition to transcribing, current technologies are able to extract other musical descriptions related to tonality, rhythm or instrumentation from music recordings. Automatic description could potentially complement traditional methodologies for music analysis.
In this talk I will first present the state-of-the art on automatic transcription and description of music audio signals. I will illustrate it with our own research on tonality estimation, melodic transcription and rhythmic characterization. I will show that, although current research is promising, current algorithms are still limited in accuracy and there is a semantic gap between automatic feature extractors and expert analyses.
Finally, I will present some strategies to address these challenges by developing methods adapted to different repertoire and defining strategies to integrate expert knowledge into computational models, as a way to build systems following a “computer-assisted” paradigm.

 

 

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