Tag Archives: artificial intelligence

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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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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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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