Tag Archives: rhythm

A new paper on Frontiers journal on Music Conducting

I am very happy to publish this work with Alvaro Sarasúa and Julián Urbano on Frontiers in Digital Humanities about Music Conducting.

The paper, titled “Mapping by Observation: Building a User-Tailored Conducting System From Spontaneous Movements” presents a music interaction system based on the conductor-orchestra metaphor, where the orchestra is considered as an instrument controlled by the movements of the conductor. In the system we proposed the user can control tempo and dynamics and it adapts its mapping to the user by observing spontaneous conducting movements on top of a fixed music. In this respect, we analyze the tendency of people to anticipate or fall behind the beat and the gestures mapped to loudness. The system was evaluated with 24 participants in a discover-by-playing scenario.
Our work was developed in the context of the PHENICX and CASAS research projects and opens interesting directions for creating more intuitive and expressive DMIs, particularly in public installations.
You can access the open publication here.
fdigh-06-00003-g003

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Video of my keynote talk at the 3rd International Workshop on Folk Music Analysis 2013

This is the video of my keynote talk at FMA 2013, titled “Towards Computer-Assisted Transcription and Description of Music Recordings”. This is the abstract of the talk. I hope you will like it!

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 present the state-of-the art on automatic transcription and description of music audio signals. I illustrate it with our own research on tonality estimation, melodic transcription and rhythmic characterization. I 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.
Moreover, I 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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12/07/2013 · 12:56