Demo Data from SIGIR 2026 / reviewers in the wild / expert
R. Smits
dblp:70/11362
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1995
—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 › speech analysis
glottal closure instant detection |
0.0 | 1 | 1995 | Determination of instants of significant excitation in speech using group delay function · IEEE Trans. Speech Audio Process. 1995 |
Audio and music processing
speech analysis |
0.0 | 1 | 1995 | Determination of instants of significant excitation in speech using group delay function · IEEE Trans. Speech Audio Process. 1995 |
Audio and music processing
speech processing |
0.0 | 1 | 1995 | Determination of instants of significant excitation in speech using group delay function · IEEE Trans. Speech Audio Process. 1995 |
Methods — techniques the papers use, named apart from their topics
short-time fourier transform · 0.0linear prediction · 0.0group delay function · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Determination of instants of significant excitation in speech using group delay functionabstractA new method for determining the instants of significant excitation in speech signals is proposed. In the paper, significant excitation refers primarily to the instant of glottal closure within a pitch period in voiced speech. The method is based on the global phase characteristics of minimum phase signals. The average slope of the unwrapped phase of the short-time Fourier transform of linear prediction residual is calculated as a function of time. Instants where the phase slope function makes a positive zero-crossing are identified as significant excitations. The method is discussed in a source-filter context of speech production. The method is not sensitive to the characteristics of the filter. The influence of the type, length, and position of the analysis window is discussed. The method works well for all types of voiced speech in male as well as female speech but, in all cases, under noise-free conditions only.> R. Smits, Bayya Yegnanarayana |
IEEE Trans. Speech Audio Process. | 1 |