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Oscar Mayor

dblp:30/8327 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Audio and music processing · 70% Multimedia systems and quality of experience · 30%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Audio and music processing › music information retrieval
music feature extraction
0.212013
ESSENTIA: an open-source library for sound and music analysis · ACM Multimedia 2013
Audio and music processing
music information retrieval
0.212013
ESSENTIA: an open-source library for sound and music analysis · ACM Multimedia 2013
Audio and music processing
acoustic signal processing
0.012013
ESSENTIA: an open-source library for sound and music analysis · ACM Multimedia 2013

Methods — techniques the papers use, named apart from their topics

XML metadata structuring · 0.3HTML5 visual interface · 0.3statistical characterization · 0.2spectral analysis · 0.2
YearPublicationVenuePosition
2016 A personality-based adaptive system for visualizing classical music performances
abstract
To enhance the experience of listening to classical orchestra music, either in the concert hall or at home, we present a personalized system that integrates three visualization/interaction concepts: Score Follower (points to the current position in the score), Orchestra Layout (illustrates instruments that are currently playing and their dynamics), and Structure Visualization (visualizes structural elements such as themes or motifs). Motivated by previous literature that found evidence for connections between personality and music consumption and preference, we first assessed in a user study to which extent personality traits and music visualization preferences correlate. Measuring preference via pragmatic quality and personality traits according to the Big Five Inventory (BFI) questionnaire, we found substantial interconnections between them. These translate into rules relating certain personality traits (e.g., extraversion or agreeableness) to preference rankings of the visualizations.
Markus Schedl, Mark S. Melenhorst, Cynthia C. S. Liem, Agustín Martorell, Oscar Mayor, Marko Tkalcic
MMSys5
2013 ESSENTIA: an open-source library for sound and music analysis
abstract
We present Essentia 2.0, an open-source C++ library for audio analysis and audio-based music information retrieval released under the Affero GPL license. It contains an extensive collection of reusable algorithms which implement audio input/output functionality, standard digital signal processing blocks, statistical characterization of data, and a large set of spectral, temporal, tonal and high-level music descriptors. The library is also wrapped in Python and includes a number of predefined executable extractors for the available music descriptors, which facilitates its use for fast prototyping and allows setting up research experiments very rapidly. Furthermore, it includes a Vamp plugin to be used with Sonic Visualiser for visualization purposes. The library is cross-platform and currently supports Linux, Mac OS X, and Windows systems. Essentia is designed with a focus on the robustness of the provided music descriptors and is optimized in terms of the computational cost of the algorithms. The provided functionality, specifically the music descriptors included in-the-box and signal processing algorithms, is easily expandable and allows for both research experiments and development of large-scale industrial applications.
Dmitry Bogdanov, Nicolas Wack, Emilia Gómez, Sankalp Gulati, Perfecto Herrera, Oscar Mayor, Gerard Roma, Justin Salamon, José Ricardo Zapata, Xavier Serra
ACM Multimedia6
2013 repoVizz: a framework for remote storage, browsing, annotation, and exchange of multi-modal data
abstract
In this technical demo we present repoVizz (http://repovizz.upf.edu), an integrated online system capable of structural formatting and remote storage, browsing, exchange, annotation, and visualization of synchronous multi-modal, time-aligned data. Motivated by a growing need for data-driven collaborative research, repoVizz aims to resolve commonly encountered difficulties in sharing or browsing large collections of multi-modal data. At its current state, repoVizz is designed to hold time-aligned streams of heterogeneous data: audio, video, motion capture, physiological signals, extracted descriptors, annotations, et cetera. Most popular formats for audio and video are supported, while Broadcast WAVE or CSV formats are adopted for streams other than audio or video (e.g., motion capture or physiological signals). The data itself is structured via customized XML files, allowing the user to (re-) organize multi-modal data in any hierarchical manner, as the XML structure only holds metadata and pointers to data files. Datasets are stored in an online database, allowing the user to interact with the data remotely through a powerful HTML5 visual interface accessible from any standard web browser; this feature can be considered a key aspect of repoVizz since data can be explored, annotated, or visualized from any location or device. Data exchange and upload/download is made easy and secure via a number of data conversion tools and a user/permission management system.
Oscar Mayor, Quim Llimona, Marco Marchini, Panagiotis Papiotis, Esteban Maestre
ACM Multimedia1
2010 KaleiVoiceKids: interactive real-time voice transformation for children
abstract
In this paper we describe the adaptation of an existing Real-time voice transformation exhibit to the special case of children as the interacting subjects. Many factors have been taken into consideration to adapt the body interaction design, the visual feedback given to the user and the core technology itself to fulfill the requirements of children. The paper includes a description of this installation that is being used daily by hundreds of children in a permanent museum exhibition.
Oscar Mayor, Jordi Bonada, Jordi Janer
IDC1