Demo Data from EDBT 2026 / reviewers in the wild / expert
O. Nadiri
dblp:150/9668
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2014
—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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing
microphone array processing |
0.2 | 1 | 2014 | Localization of Multiple Speakers under High Reverberation using a Spherical Microphone Array and the Direct-Path Dominance Test · IEEE ACM Trans. Audio Speech Lang. Process. 2014 |
Audio and music processing › sound source localization
speaker localization |
0.2 | 1 | 2014 | Localization of Multiple Speakers under High Reverberation using a Spherical Microphone Array and the Direct-Path Dominance Test · IEEE ACM Trans. Audio Speech Lang. Process. 2014 |
Audio and music processing › microphone array processing
spherical microphone array |
0.2 | 1 | 2014 | Localization of Multiple Speakers under High Reverberation using a Spherical Microphone Array and the Direct-Path Dominance Test · IEEE ACM Trans. Audio Speech Lang. Process. 2014 |
Methods — techniques the papers use, named apart from their topics
time-frequency bin selection · 0.2spherical harmonics · 0.2direct-path dominance test · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Localization of Multiple Speakers under High Reverberation using a Spherical Microphone Array and the Direct-Path Dominance TestabstractOne of the major challenges encountered when localizing multiple speakers in real world environments is the need to overcome the effect of multipath distortion due to room reverberation. A wide range of methods has been proposed for speaker localization, many based on microphone array processing. Some of these methods are designed for the localization of coherent sources, typical of multipath environments, and some have even reported limited robustness to reverberation. Nevertheless, speaker localization under conditions of high reverberation still remains a challenging task. This paper proposes a novel multiple-speaker localization technique suitable for environments with high reverberation, based on a spherical microphone array and processing in the spherical harmonics (SH) domain. The non-stationarity and sparsity of speech, as well as frequency smoothing in the SH domain, are exploited in the development of a direct-path dominance test. This test can identify time-frequency (TF) bins that contain contributions from only one significant source and no significant contribution from room reflections, such that localization based on these selected TF-bins is performed accurately, avoiding the potential distortion due to other sources and reverberation. Computer simulations and an experiment in a real reverberant room validate the robustness of the proposed method in the presence of high reverberation . O. Nadiri, Boaz Rafaely |
IEEE ACM Trans. Audio Speech Lang. Process. | 1 |