Demo Data from SIGIR 2026 / reviewers in the wild / expert
Mireille Besson
dblp:06/1354
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2011
0000-0002-9549-5274ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1
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
1 paper |
Audio and music processing · 77% Image and video processing · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing › sound synthesis
impact sound synthesis |
0.1 | 1 | 2011 | Controlling the Perceived Material in an Impact Sound Synthesizer · IEEE Trans. Speech Audio Process. 2011 |
Image and video processing › hyperspectral image analysis
material identification |
0.0 | 1 | 2011 | Controlling the Perceived Material in an Impact Sound Synthesizer · IEEE Trans. Speech Audio Process. 2011 |
Methods — techniques the papers use, named apart from their topics
event-related potentials · 0.1analysis-synthesis · 0.1acoustic analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Controlling the Perceived Material in an Impact Sound SynthesizerabstractIn this paper, we focused on the identification of the perceptual properties of impacted materials to provide an intuitive control of an impact sound synthesizer. To investigate such properties, impact sounds from everyday life objects, made of different materials (wood, metal and glass), were recorded and analyzed. These sounds were synthesized using an analysis–synthesis technique and tuned to the same chroma. Sound continua were created to simulate progressive transitions between materials. Sounds from these continua were then used in a categorization experiment to determine sound categories representative of each material (called typical sounds). We also examined changes in electrical brain activity (using event related potentials (ERPs) method) associated with the categorization of these typical sounds. Moreover, acoustic analysis was conducted to investigate the relevance of acoustic descriptors known to be relevant for both timbre perception and material identification. Both acoustic and electrophysiological data confirmed the importance of damping and highlighted the relevance of spectral content for material perception. Based on these findings, controls for damping and spectral shaping were tested in synthesis applications. A global control strategy, with a three-layer architecture, was proposed for the synthesizer allowing the user to intuitively navigate in a “material space” and defining impact sounds directly from the material label. A formal perceptual evaluation was finally conducted to validate the proposed control strategy. Mitsuko Aramaki, Mireille Besson, Richard Kronland-Martinet, Sølvi Ystad |
IEEE Trans. Speech Audio Process. | 2 |
| 2003 | Affective encoding in the speech signal and in event-related brain potentials
Kai Alter, Erhard Rank, Sonja A. Kotz, Ulrike Toepel, Mireille Besson, Annett Schirmer, Angela D. Friederici |
Speech Commun. | 5 |