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
TIMIT / LDC93S1
English acoustic-phonetic research with time-aligned phone and word annotations.
Evaluation: State the core/full test set, phone mapping and exclusions such as SA sentences; phone error rate is not word error rate.
From Nov 2023 to Oct 2026, 29 archived papers mentioned TIMIT in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2025 (3).
No paper of the tracked journals mentioned TIMIT in the last 30 days (2026-10-07 to 2026-11-05).
From 2017 to 2026 (so far), TIMIT was mentioned in 46 papers in the tracked journals, most of them in AI (45) and statistics (1).
11 of them were published in 2025, against 4 in 2017.
Since 2023, the institutions with the most of these papers were Edinburgh Napier University (2), Hong Kong Polytechnic University (2) and Radboud University Nijmegen (2).
The journals publishing most of them were Computer Speech & Language (6), Artificial Intelligence Review (5) and IEEE Transactions on Artificial Intelligence (4).
The most-cited of them is “Deepfake video detection: challenges and opportunities” (Artificial Intelligence Review, 2024), with 214 citations.
Papers use TIMIT most often with ImageNet (8), LibriSpeech (8) and MNIST / Fashion-MNIST (6); it has 9 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.
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 TIMIT most often with ImageNet (8), LibriSpeech (8) and MNIST / Fashion-MNIST (6); it has 9 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →
What papers use TIMIT together with (at least 3 papers; lift 1 = chance)
Scholar4AI. (2026). TIMIT. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/timit
@misc{scholar4ai-datasets-timit,
author = {{Scholar4AI}},
title = {TIMIT},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/timit}},
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).