Demo Data from EDBT 2026 / reviewers in the wild / expert
Abraham Miller
dblp:272/9938
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 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 · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Health and well-being technologies · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing › speech analysis
voice analysis |
0.4 | 1 | 2020 | Acoustic Measures for Real-Time Voice Coaching · KDD 2020 |
Methods — techniques the papers use, named apart from their topics
correlation analysis · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Acoustic Measures for Real-Time Voice CoachingabstractOur voices can convey many different types of thoughts and intent; how our voices carry them is often not consciously controlled and as a consequence, unintended effects may arise that negatively impact our relationships. How we say things is as important as what we say. This paper presents methodologies for computing a set of physical properties from sound waves of a speaker's voice directly, referred to as acoustic measures. Experiments are designed and conducted to establish the correlations between physical properties and auditory measures for human perception of sound waves. Based on these correlations, a voice coaching app can guide users, in real-time or deferred retrospective, to modify their speech's auditory measures, such as rate of speech, energy level, and intonation, to achieve their intended communication goals. Ying Li 0040, Abraham Miller, Arthur Liu, Kyle Coburn, Luis J. Salazar |
KDD | 2 |