Demo Data from SIGIR 2026 / reviewers in the wild / expert
C. Phillip Brown
dblp:01/11336
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1998
—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 › spatial audio
binaural audio synthesis |
0.0 | 1 | 1998 | A structural model for binaural sound synthesis · IEEE Trans. Speech Audio Process. 1998 |
Audio and music processing › spatial audio
head-related transfer function modeling |
0.0 | 1 | 1998 | A structural model for binaural sound synthesis · IEEE Trans. Speech Audio Process. 1998 |
Audio and music processing
spatial audio |
0.0 | 1 | 1998 | A structural model for binaural sound synthesis · IEEE Trans. Speech Audio Process. 1998 |
Methods — techniques the papers use, named apart from their topics
time-domain wave propagation model · 0.0DSP implementation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | A structural model for binaural sound synthesisabstractA structural model is presented for synthesizing binaural sound from a monaural source. The model produces well-controlled vertical as well as horizontal effects. The model is based on a simplified time-domain description of the physics of wave propagation and diffraction. The components of the model have a one-to-one correspondence with the physical sources of sound diffraction, delay, and reflection. The simplicity of the model permits efficient implementation in DSP hardware, and thus facilitates real-time operation. Additionally, the parameters in the model can be adjusted to fit a particular individual's characteristics, thereby producing individualized head-related transfer functions. Experimental tests verify the perceptual effectiveness of the approach. C. Phillip Brown, Richard O. Duda |
IEEE Trans. Speech Audio Process. | 1 |