EDBT 2026 Demo / reviewers in the wild / expert
Ben Rudzyn
dblp:88/4311
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 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.
| Artificial intelligence
1 paper |
Speech recognition and synthesis · 50% Robot navigation and mapping · 50% | |
| Computer graphics and multimedia
1 paper |
Audio and music processing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Speech recognition and synthesis › speech separation › computational auditory scene analysis
robot audition |
0.1 | 1 | 2007 | Real time robot audition system incorporating both 3D sound source localisation and voice characterisation · ICRA 2007 |
Robotics › Robot navigation and mapping
sound source localization |
0.1 | 1 | 2007 | Real time robot audition system incorporating both 3D sound source localisation and voice characterisation · ICRA 2007 |
Audio and music processing › speech processing
speech classification |
0.0 | 1 | 2007 | Real time robot audition system incorporating both 3D sound source localisation and voice characterisation · ICRA 2007 |
Methods — techniques the papers use, named apart from their topics
time-delay estimation · 0.1decision tree classifier · 0.1MFCC · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Real time robot audition system incorporating both 3D sound source localisation and voice characterisationabstractThis paper describes the implementation of a novel real time robot audition system which combines a 3D sound localisation system and a voice characterisation (VC) system. The localisation system employs a 4 microphone array and uses the time delay estimation method. Accuracy is improved through the use of a correlation confidence threshold and a median filter. The VC system, which classifies between speech, non speech and silence, uses a decision tree classifier and a feature set comprising MFCCs, mean MFCCs and variance in MFCCs. The complete system has a processing time of 0.73x real time, and a range of up to 3 m. The compact design, high accuracy, and real time processing ability makes the system and the approach well suited to robotics. Ben Rudzyn, Mohammed Waleed Kadous, Claude Sammut |
ICRA | 1 |