Category Archives: teaching

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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IEEE Signal Processing Magazine Melody Extraction Review published online

Our review article on melody extraction algorithms for the IEEE Signal Processing Magazine is finally available online! The printed edition will be coming out in March 2014.

I believe (not just as I am a co-author!) that it will become a key reference in the Music Information Retrieval area and beyond, as it provides a very nice overview of approaches, challenges and applications for melody extraction from polyphonic music signals. Justin Salamon has been the main author (congratulations, Justin!) and the paper has benefit from the contribution of two key experts: Gaël Richard, and Dan Ellis, with who I had the chance to collaborate on a previous comparative study on melody extraction published at IEEE TASP (128 citations according to google scholar).

Finally, I like very much this kind of tutorial papers providing a comprehensive introduction to a given topic and with a very attractive design. I hope you will enjoy it!

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J. Salamon, E. Gómez, D. P. W. Ellis and G. Richard, “Melody Extraction from Polyphonic Music Signals: Approaches, Applications and Challenges“, IEEE Signal Processing Magazine, 31(2):118-134, Mar. 2014.

Abstract—Melody extraction algorithms aim to produce a sequence of frequency values corresponding to the pitch of the dominant melody from a musical recording. Over the past decade melody extraction has emerged as an active research topic, comprising a large variety of proposed algorithms spanning a wide range of techniques. This article provides an overview of these techniques, the applications for which melody extraction is useful, and the challenges that remain. We start with a discussion of ‘melody’ from both musical and signal processing perspectives, and provide a case study which interprets the output of a melody extraction algorithm for specific excerpts. We then provide a comprehensive comparative analysis of melody extraction algorithms based on the results of an international evaluation campaign. We discuss issues of algorithm design, evaluation and applications which build upon melody extraction. Finally, we discuss some of the remaining challenges in melody extraction research in terms of algorithmic performance, development, and evaluation methodology.

For further information about this article please visit Justin Salamon’s research page.

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Graduating

My three PhD students, Justin Salamon, Jose R. Zapata and Agustín Martorell, graduated last September. We had an intense week with the three defenses and a wonderful panel of experts for the jury. These are three very nice pieces of work and very different and varied in terms of contributions and scopes.

  • Agustín Martorell, “Modelling tonal context dynamics by temporal multi-scale analysis”. Jury members: Petri Toiviainen (University of Jyväskylä), Geoffroy Peeters (IRCAM), Sergi Jordà (UPF). This thesis provides nice insights on the concept of tonality and its computational modelling, discussing the different proposals for visualization and evaluation and proposing a new approach based on temporal multi-scale.
  • José R. Zapata “Comparative Evaluation and Combination of Automatic Rhythm Description Systems”. Jury members: Fabien Gouyon (INESC-Porto), Juan Bello (NYU), Xavier Serra (UPF). The work by Jose is extremely important as it provides a quantitative evaluation of state of the art methods for rhythm description (tempo and beat tracking), a way to automatically detect difficult examples, and propose a way to combine different strategies in different contexts (tracks, onset detection functions and beat tracking model) to address the current glass ceiling in those methods.
  • Justin Salamon. “Melody Extraction from Polyphonic Music Signals”. Jury Members: Geoffroy Peeters (IRCAM), Fabien Gouyon (INESC-Porto), Juan Bello (NYU). The thesis by Justin is an excellent contribution to the field of music content description, in particular predominang fundamental frequency estimation, including the MELODIA algorithm and many applications to evaluate and exploit the method.

I learned a lot by supervising the three of them, I am now happy that they succeed. I hope we will keep collaborating and I wish them all the best in their future careers!

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Teaching Music Information Retrieval: courses, resources and funding!

 

I proposed a session on teaching Music Information Retrieval at ISMIR in Porto last week, as part as its Demo/Late-break session. As a result of this session, we decided to create a site to centralize teaching resources related to Music Information Retrieval. It is addressed to teachers and students interested on these technologies from an educational point of view. Current resources include:

  • List of courses: list of courses related to MIR in different levels, institutions and countries.
  • Educational resources: collaborative list of small teaching material: exercises, musical examples, code.

I am very happy because of the great contribution by the community so far. There are many course already there (I think most of them!) and few great education resources. I hope it’s just the start!

In terms of funding, UPF’s teaching innovation services (plaQUID) got interested, and I got some funding to have a larger impact of MIR & teaching in our local context.

emilia

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