Keynote speech at the 2018 Joint Workshop on Machine Learning for Music

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I am honored to be keynote speaker at a joint workshop on Machine Learning for Music that will take place this summer in Stockholm. I spent part of my PhD in KTH in Stockholm and it became one of my favourite places, so it is always great to visit. This is the call for papers! I encourage all of you to submit as it will be a fun event!

2nd Call-for-Papers for the 2018 Joint Workshop on Machine Learning for Music, a joint workshop program of IJCAI/ECAI, AAMAS, and ICML

Stockholm, Sweden

July 14-15, 2018 (Tentative dates)

https://sites.google.com/site/faimmusic2018/

Keynote Speaker:

  • Emilia Gómez, Joint Research Centre (European Commission) and Universitat Pompeu Fabra

Invited Speakers:

  • Anna Huang, Google
  • Matt McVicar, Jukedeck
  • Bob Sturm, Queen Mary University of London

The ever-increasing size and accessibility of vast music libraries has created a demand more than ever for machine learning systems that are capable of understanding and organizing this complex data. Further, the whole music ecosystem –from creation to consumption– is being disrupted to its core by current developments in machine learning, and in particular recent advances in deep learning. The topics discussed in the workshop will span a variety of music generation and recommender systems challenges including cross-cultural recommendation, content-based audio processing and representation learning, automatic music tagging, synthesis, style-transfer, and evaluation.

We invite the research community, from both industry and academia, to submit 2-page extended abstracts on topics such as:

  • Music recommendation and discovery
  • AI-based music creation and machine creativity
  • Content-based and multimodal music recommender systems
  • Transfer learning and semi-supervised learning for music discovery
  • Audio and semantic content-based machine learning (e.g., genre, mood, style, rhythm)
  • Browsing and visualization of large music and listener datasets
  • Similarity metric learning
  • Learning to rank
  • Evaluation methodology
  • Deep learning applications for computational music research
  • Modeling hierarchical and long term music structures using deep learning
  • Modeling ambiguity and preference in music
  • Software frameworks and tools for deep learning in music
  • Automatic classification of music (audio and MIDI)
  • Style-based interpreter recognition
  • Automatic composition and improvisation
  • Automatic score alignment
  • Polyphonic pitch detection, Chord extraction, and Pattern discovery
  • Expressive performance modeling

2-page extended abstracts should be formatted according to the ICML template:

https://media.nips.cc/Conferences/ICML2018/Styles/icml2018_style.tar.gz

Word templates will not be provided. Only papers using the above template will be considered.

Papers should be submitted via email to the following address: joint-music-machine-learning-workshop@googlegroups.com

Accepted papers will be published online.

Important Dates:

  • Abstract submission deadline: May 18, 2018
  • Notifications: May 25, 2018
  • Camera-ready deadline: July 6, 2018
  • Workshop: July 14-15, 2018

 Check the website (https://sites.google.com/site/faimmusic2018/ ) for more details, and regular updates on invited speakers.

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LifeSoundTrack: música, tecnología, recuerdos y alzheimer / music, technology, memories and alzheimer

English version below!

A veces los proyectos más enriquecedores son los que realizas con menos recursos.

En éste proyecto utilizamos las tecnologías de recuperación de la información musical para encontrar la banda sonora de la vida de personas mayores españolas. Ésto ha presentado varios retos de investigación y tecnológicos. En concreto hemos podido observar el sesgo de los sistemas actuales de recomendación musical tanto en que sólo se centran en un repertorio musical popular y sus interfaces y descriptores musicales están pensados para usuarios jóvenes. Esto aplica a:

  • Las taxonomías de géneros musicales.
  • Los idiomas predominantes en las canciones y su etiquetado.
  • Los descriptores y playlists que se utilizan (e.g. música de fiesta).
  • La dificultad para tener los derechos de dar una canción a éstas personas para que la escuchen.
  • La dificultad de tener dispositivos fáciles de usar y dirigidos a éste tipo de personas.

Por tanto casi hemos tenido que empezar desde cero! Éste es el repositorio github que hemos creado (abierto): https://github.com/MTG/lifesoundtrack

Y si alguien quiere obtener su banda sonora puede hacerlo en bandasonoravital.upf.edu 

Atención! El sistema está pensado para personas mayores que han nacido o viven en España, por lo que utilizadlo sobre todo si cumplís éstos requisitos o para alguna persona que conozcáis que los cumpla.

Ha sido un privilegio poder colaborar con la Fundación Pasqual Maragall, La Fundación AVAN y la Escuela La Salud de Sabadell en éste piloto con personas que padecen la enfermedad de Alzheimer. Sobre todo ha sido genial trabajar con Nina, Anna, Carolina, y los chicos de La Salut. Aquí podéis ver un vídeo que me encanta y resume muy bien el proyecto:

Para más información no os perdáis el documental Sense Ficció que emitirá TV3 el día 8 de Mayo por la noche!!!

Más información del proyecto en la web del MTG y de la Fundación Pasqual Maragall.

Y las bandas sonoras se pueden generar en http://bandasonoravital.upf.edu/ 

¡Gracias a todo el equipo! En especial al grupo del MTG: Perfe Herrera, Felipe Navarro, Olga Slizovskaia, por su tiempo en éste proyecto donde no hemos tenido financiación específica.

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Sometimes the most enriching projects are those that you do with less resources and funding.

In this project we use music information retrieval (MIR) technologies to find the life soundtrack of Spanish elderly people. Starting from a questionnaire where we ask about biographical information and one´s relationship with music, we build a playlist looking at several sources such as spotify or youtube. 

This has presented several research and technological challenges. Specifically, we have been able to observe the bias of current music recommendation systems, as they focus on a popular musical repertoire and their interfaces and musical descriptors are designed for young users. This applies to:

  • The taxonomies of musical genres.
  • The predominant languages ​​in the songs and their labeling.
  • The descriptors and playlists that are used (e.g., what does happy music mean).
  • The difficulty to have the rights to give a song to these people to be heard.
  • The difficulty of having easy-to-use devices aimed at this type of person.

Therefore we almost had to start from scratch! This is the github repository that we have created (open): https://github.com/MTG/lifesoundtrack 

And if someone wants to get their soundtrack you can do it at bandasonoravital.upf.edu
Attention! The system is designed for seniors who have been born or live in Spain, so use it especially if you meet these requirements or for someone you know who complies.

It has been a privilege to be able to collaborate with the Pasqual Maragall Foundation, the AVAN Foundation and the Health School of Sabadell in this pilot with people suffering from Alzheimer’s disease. Above all it has been great to work with Nina, Anna, Carolina, and the guys from La Salut. Here you can see a video that I love and sums up the project very well:

For more information, do not miss the Sense Ficció documentary that will broadcast TV3 on May 8 at night !!!

More information on the project on the MTG website and the Pasqual Maragall Foundation. Thanks to all the team! Especially to the MTG group: Perfe Herrera, Felipe Navarro, Olga Slizovskaia, for their time in this project where we have not had specific funding.

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Interview at ACM SIGMM Records and the need for interdisciplinary research

The March Issue (Vol.10, Issue 1) of ACM SIGMM Records (News for the Multimedia Community) is out and it includes an interview of myself for the interdisciplinary column, kindly chaired by Cynthia Liem and Jochen Huber.

It is awesome already that there is an interdisciplinary column at SIGMM, recognising the challenges and also the potential of interdisciplinary research and insights as a way to have a comprehensive understanding, in this case, of multimedia computing. I was very pleased to ask questions about my experience in the MIR field and about diversity and interdisciplinarity.

You can read the interview and other interesting content here.

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Presentación en Andalucía Digital Week 2018

El lunes tuve la oportunidad de presentar el proyecto HUMAINT con la charla “La influencia de los algoritmos en nuestras mentes y en nuestras decisiones” en la primera edición de Andalucía Digital Week , un evento que nace para visibilizar el sector de las TICs en Andalucía como punto de encuentro de empresas, administración y la sociedad. Entre las iniciativas más interesante está la jornada WOMANDIGITAL que visibiliza el papel de las mujeres en la transformación digital. No dejéis de firmar el manifiesto que hay en la web!!!

En mi intervención presenté el proyecto HUMAINT que lidero dentro del Centre for Advanced Studies, Joint Research Centre de la Comisión Europea, en el que estudiaremos el impacto que tendrá la inteligencia artificial en el comportamiento humano, principalmente en la toma de decisiones y en nuestras capacidades cognitivas. Fue muy interesante presentar por primera vez en Sevilla el proyecto y tener comentarios muy interesantes de los asistentes, con la pena de que justo al acabar me tuve que ir volando para el aeropuerto. Aquí hay algunas fotos que se pusieron en twitter!

 

 

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Interview with Tara Chklovski from Iridescent Learning

Las December I had the chance to virtually meet Tara Chklovski, who is the CEO of Iridescent Learning,  a science education nonprofit organization in the United States.

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Their mission, according to their website, is “to empower the world´s underrepresented young people, especially girls, through engineering and technology to become innovators and leader”.

They just launched (with AAAI, a leading organization in Artificial Intelligence) — the first, global Curiosity Machine AI Family Challenge – a two-stage competition for 20,000 underserved 3rd-8th grade students and parents (especially mothers) to use AI technologies and tools (sensors, data analysis tools) to solve problems in their communities (along the tracks of health, energy, food, transportation, education, public safety and civic engagement).

Of course, I thought: “what a wonderful mission and challenges!” How can I help? So she proposed me to do an interview where I could provide my thoughts on AI and its impact, targeting this particular audience.

 

It took me some weeks to complete it, as I have been very busy moving to another city, but I managed to answer the questions I hope in an interesting way. I hope this can also help to disseminate our research community, ISMIR, and its efforts to increase inclusion and variety, WiMIR, which I am very proud to contribute to.

I hope you like the interview, which can be found here.

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Hello world: el ¿primer? álbum ¿creado? por ¿inteligencia? artificial. 

Hoy en el programa de Radio Clásica, Longitud de Onda #LDOnda explicaré cuál ha sido el proceso de elaboración de “Hello world“, que según sus creadores es el primer álbum creado por inteligencia artificial.

Podréis escuchar el programa hoy en directo o más tarde en los podcasts de Longitud de Onda. También podéis escuchar otros programas en los que he participado aquí.

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“Contratados por un robot”: press article about artificial intelligence

Contratados por un robot“, an article published in el Periódico on November 11th, 2017 about artificial intelligence, mentions the new project HUMAINT that I will start leading in 2018.

Read the article in el Periodico.

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¿Qué impacto tendrá la inteligencia artificial en el comportamiento humano?

Noticia en la web de la UPF sobre el nuevo proyecto HUMAINT

Podéis leerla aquí.

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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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Mi tecnología permite a cada persona descubrir todas las músicas que le gustan

Entrevista con Juan Luís Pavón publicada en el correo de Andalucía sobre mi investigación. Accesible aquí.

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