Mention counts below measure name matches in tracked papers, not benchmark quality or downloads. A family count can cover multiple datasets; it is not a separate count for each comparison row. Choose a task and version first, preserve evaluation splits, and follow the linked release terms. The site's content license does not replace the datasets' own terms.
Dataset comparison: tasks, access and usage conditions
Dataset / version
Task and evaluation
Access and preparation
Usage conditions
IEMOCAP
Acted/improvised dyadic emotional speech, with audiovisual and motion-capture data; about 12 hours.
Evaluation: Use speaker/session-disjoint evaluation, specify whether happy/excited are merged, and report weighted/unweighted accuracy.
From Nov 2023 to Oct 2026, 110 archived papers mentioned Speech emotion (IEMOCAP, RAVDESS) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2026 (6).
Speech emotion (IEMOCAP, RAVDESS) was mentioned in 2 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #127 of the 246 datasets mentioned.
By journal category: AI (2).
Most of them appeared in Language Resources and Evaluation (1) and Artificial Intelligence (1).
From 2017 to 2026 (so far), Speech emotion (IEMOCAP, RAVDESS) was mentioned in 160 papers in the tracked journals, most of them in AI (153), information systems (5) and statistics (1).
33 of them were published in 2025, against 1 in 2017.
Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (5), Central South University of Forestry and Technology (4) and Chongqing University of Posts and Telecommunications (4).
The journals publishing most of them were Speech Communication (11), Computer Speech & Language (10) and Knowledge-Based Systems (10).
The most-cited of them is “Evaluating deep learning architectures for Speech Emotion Recognition” (Neural Networks, 2017), with 554 citations.
Papers use Speech emotion (IEMOCAP, RAVDESS) most often with YouTube / TikTok (18), Facial expression (FER2013, AffectNet, RAF-DB) (9) and Twitter / X (9); it has 11 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.
Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.
Papers use Speech emotion (IEMOCAP, RAVDESS) most often with YouTube / TikTok (18), Facial expression (FER2013, AffectNet, RAF-DB) (9) and Twitter / X (9); it has 11 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok. The whole network →
What papers use Speech emotion (IEMOCAP, RAVDESS) together with (at least 3 papers; lift 1 = chance)
Chinese Academy of Sciences; Institute of Automation; University of Chinese Academy of Sciences; …
Cite this page
Scholar4AI. (2026). Speech emotion (IEMOCAP, RAVDESS). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/speech-emotion-iemocap-ravdess
@misc{scholar4ai-datasets-speech-emotion-iemocap-ravdess,
author = {{Scholar4AI}},
title = {Speech emotion (IEMOCAP, RAVDESS)},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/speech-emotion-iemocap-ravdess}},
urldate = {2026-11-05},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).