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Demo Data from EDBT 2026 / reviewers in the wild / expert

Mercedes Güemes

dblp:295/7430 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

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.

Artificial intelligence
1 paper
Speech recognition and synthesis · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Speech recognition and synthesis › text-to-speech synthesis
prosody modeling		 0.512021
F0 Perturbation Due to Articulatory Movements: Filtering, Characterization and Applications · IEEE ACM Trans. Audio Speech Lang. Process. 2021
Natural language and speech › Speech recognition and synthesis
speech production		 0.512021
F0 Perturbation Due to Articulatory Movements: Filtering, Characterization and Applications · IEEE ACM Trans. Audio Speech Lang. Process. 2021

Methods — techniques the papers use, named apart from their topics

filtering · 0.5
YearPublicationVenuePosition
2021 F0 Perturbation Due to Articulatory Movements: Filtering, Characterization and Applications
Humberto M. Torres, Mercedes Güemes, Jorge A. Gurlekian, Diego A. Evin
 IEEE ACM Trans. Audio Speech Lang. Process.2