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  • Joan Serrà Julià, Xavier Serra, Casals, Vincent Akkermans, Eduard Aylon, Dmitry Bogdanov +21 others
  • 2011
Acknowledgements I remember I was quite shocked when, one of the very first times I went to the MTG, Perfecto Herrera suggested that I work on the automatic identification of versions of musical pieces. I had played versions (both amateur and professionally) since I was 13 but, although being familiar with many MIR tasks, I had never thought of version(More)
We present a novel representation and method for detecting and explaining anomalous activities in a video stream. Drawing from natural language processing, we introduce a representation of activities as bags of event n-grams, where we analyze the global structural information of activities using their local event statistics. We demonstrate how maximal(More)
In a collaborative research project, several monaural and binaural noise reduction algorithms have been comprehensively evaluated. In this article, eight selected noise reduction algorithms were assessed using instrumental measures, with a focus on the instrumental evaluation of speech intelligibility. Four distinct, reverberant scenarios were created to(More)
Several binaural audio signal enhancement algorithms were evaluated with respect to their potential to improve speech intelligibility in noise for users of bilateral cochlear implants (CIs). 50% speech reception thresholds (SRT50) were assessed using an adaptive procedure in three distinct, realistic noise scenarios. All scenarios were highly nonstationary,(More)
This work outlines the concept of personal sample library, a large database of event-synchronous audio segments extracted from a user's digital music collection. It identifies tasks involved in making sample-based music and audio collage, and shows how interfaces to the personal sample library can aid these tasks and simplify the music development cycle. In(More)
We propose a strategy for integrating descriptor-driven transformation into mosaicing sound synthesis, in which samples are selected by taking into account potential distances in the transformed space. Target descriptors consisting of chroma, mel-spaced filter banks, and energy are modeled with respect to windowed bandlimited resampling and mel-spaced(More)
Several binaural audio signal enhancement algorithms were evaluated with respect to their potential to improve speech intelligibility in noise for users of bilateral cochlear implants (CIs). 50% speech reception thresholds (SRT 50) were assessed using an adaptive procedure in three distinct, realistic noise scenarios. All scenarios were highly(More)
In a collaborative research project, several monaural and binaural noise reduction algorithms have been comprehensively evaluated. In this article, eight selected noise reduction algorithms were assessed using instrumental measures, with a focus on the instrumental evaluation of speech intelligibility. Four distinct, reverberant scenarios were created to(More)