Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael Jeffet
dblp:170/6142
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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
1 paper |
Audio and music processing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing
beamforming |
0.2 | 1 | 2016 | Theory and Perceptual Evaluation of the Binaural Reproduction and Beamforming Tradeoff in the Generalized Spherical Array Beamformer · IEEE ACM Trans. Audio Speech Lang. Process. 2016 |
Audio and music processing
speech enhancement |
0.2 | 1 | 2016 | Theory and Perceptual Evaluation of the Binaural Reproduction and Beamforming Tradeoff in the Generalized Spherical Array Beamformer · IEEE ACM Trans. Audio Speech Lang. Process. 2016 |
Audio and music processing › beamforming
spherical array beamforming |
0.2 | 1 | 2016 | Theory and Perceptual Evaluation of the Binaural Reproduction and Beamforming Tradeoff in the Generalized Spherical Array Beamformer · IEEE ACM Trans. Audio Speech Lang. Process. 2016 |
Audio and music processing › spatial audio
binaural reproduction |
0.1 | 1 | 2016 | Theory and Perceptual Evaluation of the Binaural Reproduction and Beamforming Tradeoff in the Generalized Spherical Array Beamformer · IEEE ACM Trans. Audio Speech Lang. Process. 2016 |
Methods — techniques the papers use, named apart from their topics
listening test · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Theory and Perceptual Evaluation of the Binaural Reproduction and Beamforming Tradeoff in the Generalized Spherical Array BeamformerabstractMicrophone arrays are widely used in speech enhancement systems for noisy and reverberant environments. Recently, a generalized spherical array beamforming approach was developed incorporating binaural sound reproduction in the beamforming process. This generalized spherical array beamformer (GSB) maintains the spatial information through the binaural cues and improves both the spatial realism and the speech intelligibility. In this paper, the theory of the tradeoff that arises when incorporating both beamforming and binaural reproduction in a single array is developed and investigated through a simulation study and a listening test. By representing the GSB formulation in matrix form for investigating the single plane-wave scenario, two measures are developed in order to evaluate the performance of the GSB in terms of both binaural reproduction and spatial selectivity. These measures are then employed in the evaluation of the performance of various GSB beam-patterns using simulations. A listening test experiment that validates the simulation results is then reported. Results validate the theory, i.e., the GSB can be used to integrate successfully binaural reproduction and beamforming, allowing the user to emphasize either of the two, but with a clear tradeoff; improving one is only possible at the expense of degrading the other. Michael Jeffet, Noam R. Shabtai, Boaz Rafaely |
IEEE ACM Trans. Audio Speech Lang. Process. | 1 |