Demo Data from EDBT 2026 / reviewers in the wild / expert
Wen-Chieh Lee
dblp:09/1647
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
0009-0004-9855-6521ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 · 50% Image and video coding · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding › quality assessment
compression artifacts |
0.1 | 1 | 2008 | Compression Artifacts in Perceptual Audio Coding · IEEE Trans. Speech Audio Process. 2008 |
Audio and music processing › audio coding
perceptual audio coding |
0.1 | 1 | 2008 | Compression Artifacts in Perceptual Audio Coding · IEEE Trans. Speech Audio Process. 2008 |
Methods — techniques the papers use, named apart from their topics
time-frequency analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Compression Artifacts in Perceptual Audio CodingabstractPerceptual audio coding achieves a high compression ratio by exploiting the perceptual irrelevance and data redundancies. By using advanced and sophisticated signal processing methods, perceptual coding has generated artifacts that are quite different from the traditional distortions. A new audio technology becomes mature through the successful modeling, measuring, and control on the artifacts incurred from the technology. With the advance of new coding modules in advanced audio coding (AAC), spectral band replication (SBR), and parametric coding, the incurred artifacts are far more difficult to model, measure, and control than those caused by previous encoding systems like pulse code modulation. This paper models the audible artifacts through the time-frequency diagrams, considers the artifacts-susceptible music types, and analyzes the critical encoding technologies incurring these artifacts. Chi-Min Liu, Han-Wen Hsu, Wen-Chieh Lee |
IEEE Trans. Speech Audio Process. | 3 |