HUMAINT: New research project on Human Behaviour and Machine Intelligence @ Joint Research Centre (EC) – We are hiring!

Postdoc application deadline: OCTOBER 26, 2017

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I am excited to lead a novel research initiative inside the European Commission’s Joint Research Centre, on the topic of machine learning and human behaviour.

The Joint Research Centre (JRC) is the European Commission’s science and knowledge service which employs scientists to carry out research in order to provide independent scientific advice and support to EU policy. The JRC Centre for Advanced Studies (JRC-CAS) was established to enhance the JRC’s capabilities to meet emerging challenges at the science-policy interface. JRC-CAS is now launching a three year interdisciplinary project to understand the potential impact of machine learning in human behaviour and societal welfare. It will be carried out at JRC centre in Seville, Spain. There will be close collaboration with the Music Technology Group and the Department of Information and Communication Technologies of Universitat Pompeu Fabra  in Barcelona, Spain.

The HUMAINT project will (1) provide a scientific understanding of machine vs human intelligence; (2) analyze the influence of machine learning algorithms into human behaviour (3) investigate to what extent these findings should influence the European regulatory framework. Given my research expertise, music will be an important use case to address.

In the context of this project, three postdoc positions in the area of machine learning and human behaviour are open for appointment from January 1, 2018, at the Joint Research Centre (European Commission) in Seville, Spain. The fully funded positions are available for a period of three years. Particular areas of interests:

  • Fairness, accountability, transparency, explainability of machine learning methods.

  • Social, ethical and economic aspects of artificial intelligence.

  • Human-computer interaction and human-centered machine learning.

  • Digital and behavioural economy.

  • Application domains: music and arts, social networks, health, transport, energy.

We are looking for highly motivated, independent, and outstanding postdoc candidates with a strong background in machine learning and/or human behaviour. An excellent research track record, ability to communicate research results and involvement in community initiatives is expected. Candidates should have EU/EEA citizenship.

The JRC offers an enriching multi-cultural and multi-lingual work environment with lifelong learning and professional development opportunities, and close links to top research organisations and international bodies around the world. Postdoctoral researchers receive a competitive salary and excellent working conditions, and will define their own research agenda inline with the project goals.

JRC-Seville is located in Cartuja 93 scientific and technological park. Seville is the fourth-largest city in Spain. With more than 30 centuries of history (gateway of America for two centuries, main actor in the first circumnavigation of the Earth),  three UNESCO World Heritage Sites, and privileged climate, it combines its historical and touristic character with a consolidated economic development and innovation potential.

We are also open for collaborations with external researchers, as one of our goals is to build an expert network in the topics.

You may obtain further information about the scientific aspects of the positions from Dr. Emilia Gómez (project scientific leader: emilia.gomez@upf.edu, using the subject [humaint]) and at the following web pages http://recruitment.jrc.ec.europa.eu/?site=SVQ&type=AX&category=FGIV and https://ec.europa.eu/jrc/en/working-with-us/jobs.

YOU CAN APPLY HERE BY OCTOBER 26, 2017 (first application round).

By the way, the positions are in Seville, the city I was born, one of the most beautiful places in the world 🙂

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New open-access journal Transactions of ISMIR, open for submissions

I am happy to announce that the International Society for Music Information Retrieval launched the Transactions of the International Society for Music Information Retrieval, the open access journal of the ISMIR society at Ubiquity press. I am serving as Editor-in-Chief, together with Simon Dixon and Anja Volk.

TISMIR publishes novel scientific research in the field of music information retrieval (MIR).

We welcome submissions from a wide range of disciplines: computer science, musicology, cognitive science,  library & information science and electrical engineering.

We currently accept submissions.

View our submission guidelines for more information.

TISMIR

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Resumen de mi colaboración con el programa Longitud de Onda

Aprovechando las vacaciones, he hecho una lista todos los programas de Longitud de Onda, espacio de Radio Clásica, en donde he tenido la suerte de colaborar. Ha sido una gran experiencia donde he aprendido mucho sobre divulgación científica y cómo hablar por la radio, lo cual no es uno de mis fuertes. Creo que se nota bastante el cambio entre el primer y el último programa, así que ¡gracias a Yolanda y Fernando por la confianza!.

¡Aquí los tenéis!

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Entrevista en el programa Lògic

Arxiu #39 // Emilia Gómez // UNIVERSOS A LA MÀ // Lògic

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Sevilla reúne al sector TIC en la XV Noche de las Telecomunicaciones

Noticia de Sevilla Directo donde se comentan los “Premios Andaluces de Telecomunicaciones”, en el que se reconoció mi trayectoria profesional. Noticia completa aquí.

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Vodafone, Sé Digital Andalucía y Emilia Gómez Gutiérrez, galardonados en los Premios Andaluces de las Telecomunicaciones

Noticia en La Vanguardia sobre los Premios Andaluces de Telecomunicaciones 2017, donde tuve la suerte de ser galardonada con un premio a la trayectoria profesional.

Se puede leer la noticia aquí.

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La coral virtual ja existeix i es crea a Barcelona

Article al diari Avui sobre la nostra recerca en tecnologies pel cant coral. Accessible aquí.

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Two new industrial PhD projects

Two PhD students, Blai Meléndez-Català and Andrés Pérez-López, are joining my lab thanks to the industrial doctorate program from AGAUR, which supports collaboration between universities and industrial partners, in this case both from Barcelona. These students will work at the company but come to the lab for some time to interact and collaborate with us.

I will be the main academic supervisor of these projects, which are both linked to our research on audio processing and description, and dealing with large audio datasets and focusing on two particular problems:

  • Music/Speech Detection in Broadcast Media Programs” in collaboration  with  BMAT, in particular with Emilio Molina. Blai Meléndez Català is our PhD fellow, and the goal of this project is to research on the task of audio segmentation and tagging in the context audiovisual recordings.
  • Immersive Audiovisual Production Enhacement based on 3D Audio“, in collaboration with Fundación Eurecat, in particular with the audio-visual technologies group leaded by Adan Garriga. This project is related to 3D audio for virtual reality applications, and Andrés Pérez is a new PhD student that will research on innovative production tools for creative industries.

There is some more info (in catalan or spanish) on the UPF web site.

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Special Issue at IEEE Multimedia Magazine

I have been collaborating for a while now on the edition of a Special Issue at IEEE Multimedia Magazine, which gathers state-of-the-art research on multimedia methods and technologies aimed at enriching music performance, production and consumption.

I have had the change to co-edit this issue with my colleagues Cynthia Liem (TU Delft, The Netherlands) and George Tzanetakis (University of Victoria, Canada), and I am very happy with the outcomes.

It is the second time I act as a co-editor for a journal (the first one was at JNMR and related to computational ethnomusicology) and I learnt a lot from the process. Editors have to asure good submissions, good reviews and recommendations, keeping the coherence and theme that we wanted to give as a message to our community. Yes: access, distribution and experiences in music are changing with new technologies. I am very happy with the outcomes!  Check our editorial paper here, and the full issue here.

And I love the design!

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Journal paper and open dataset for source separation in Orchestra music

As part of the PHENICX project, we have recently published our research results in the task of audio sound source separation, which is the main research topic of one of our PhD students, Marius Miron.

During this work, we developed a method for orchestral music source separation along with a new dataset: the PHENICX-Anechoic dataset. The methods were integrated into the  PHENICX project for tasks as orchestra focus/instrument enhancement. To our knowledge, this is the first time source separation is objectively evaluated in such a complex scenario. 

This is the complete reference to the paper:

M. Miron, J. Carabias-Orti, J. J. Bosch, E. Gómez and J. Janer, “Score-informed source separation for multi-channel orchestral recordings”, Journal of Electrical and Computer Engineering (2016))”

Abstract: This paper proposes a system for score-informed audio source separation for multichannel orchestral recordings. The orchestral music repertoire relies on the existence of scores. Thus, a reliable separation requires a good alignment of the score with the audio of the performance. To that extent, automatic score alignment methods are reliable when allowing a tolerance window around the actual onset and offset. Moreover, several factors increase the difficulty of our task: a high reverberant image, large ensembles having rich polyphony, and a large variety of instruments recorded within a distant-microphone setup. To solve these problems, we design context-specific methods such as the refinement of score-following output in order to obtain a more precise alignment. Moreover, we extend a close-microphone separation framework to deal with the distant-microphone orchestral recordings. Then, we propose the first open evaluation dataset in this musical context, including annotations of the notes played by multiple instruments from an orchestral ensemble. The evaluation aims at analyzing the interactions of important parts of the separation framework on the quality of separation. Results show that we are able to align the original score with the audio of the performance and separate the sources corresponding to the instrument sections.

The PHENICX-Anechoic dataset includes audio and annotations useful for different MIR tasks as score-informed source separation, score following, multi-pitch estimation, transcription or instrument detection, in the context of symphonic music. This dataset is based on the anechoic recordings described in this paper:

Pätynen, J., Pulkki, V., and Lokki, T., “Anechoic recording system for symphony orchestra,” Acta Acustica united with Acustica, vol. 94, nr. 6, pp. 856-865, November/December 2008.

For more information about the dataset and how to download you can access the PHENICX-Anechoic web page.

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