---
title: "TIMIT: tasks, downloads and usage conditions"
description: "TIMIT: compare tasks, official access, usage conditions and evaluation. Includes research-paper mention counts and trends."
url: https://scholar4ai.com/datasets/timit
markdown_url: https://scholar4ai.com/datasets/timit.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "TIMIT: compare tasks, official access, usage conditions and evaluation. Includes research-paper mention counts and trends. (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# TIMIT

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/6.md)

Speech, speaker and sound collections.

- data category: Speech and audio benchmarks
- 0 papers in the last 7 days
- Names searched for: TIMIT

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Speech and audio benchmarks datasets: https://scholar4ai.com/datasets/speech-and-audio-benchmarks.md

## Tasks, access and usage conditions

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. | [Official source / documentation](https://catalog.ldc.upenn.edu/LDC93S1) Obtain the corpus through LDC membership or the applicable non-member order/license process. | LDC user agreement; access is licensed and may require payment. A third-party loader does not include a corpus license. |

Guide updated 2026-11-05.

## Key findings

- 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.

## Mentions over 36 months

*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)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 13 | 11 | 5 | 29 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 4 | 0 | 1 | 1 | 5 | 3 | 4 | 12 | 11 | 4 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| All categories | 4 | 0 | 1 | 1 | 5 | 3 | 5 | 12 | 11 | 4 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Computer Speech & Language](https://scholar4ai.com/journals/computer-speech-language.md) | 6 |
| 2 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 5 |
| 3 | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | 4 |
| 4 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 3 |
| 5 | [Speech Communication](https://scholar4ai.com/journals/speech-communication.md) | 2 |
| 6 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| 7 | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | 2 |
| 8 | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 2 |
| 9 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2 |
| 10 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | Edinburgh Napier University | 2 |
| 2 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 2 |
| 3 | Radboud University Nijmegen | 2 |
| 4 | Western Sydney University | 2 |
| 5 | Academia Sinica | 1 |
| 6 | Beijing Language and Culture University | 1 |
| 7 | Campus-Institut Data Science (CIDAS) | 1 |
| 8 | Carleton University | 1 |
| 9 | [Carnegie Mellon University](https://scholar4ai.com/institutions/carnegie-mellon-university.md) | 1 |
| 10 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 1 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 11 |
| 2 | United Kingdom | 6 |
| 3 | United States | 4 |
| 4 | Australia | 3 |
| 5 | Canada | 2 |
| 6 | Spain | 2 |
| 7 | Finland | 2 |
| 8 | Hong Kong | 2 |
| 9 | India | 2 |
| 10 | Iran | 2 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | speech recognition | 6 |
| 2 | TIMIT | 4 |
| 3 | [data augmentation](https://scholar4ai.com/keywords/data-augmentation.md) | 3 |
| 4 | [deep learning](https://scholar4ai.com/keywords/deep-learning.md) | 3 |
| 5 | [domain adaptation](https://scholar4ai.com/keywords/domain-adaptation.md) | 3 |
| 6 | long-range dependencies | 3 |
| 7 | speaker identification | 3 |
| 8 | spiking neural networks | 3 |
| 9 | [transfer learning](https://scholar4ai.com/keywords/transfer-learning.md) | 3 |
| 10 | [transformer models](https://scholar4ai.com/keywords/transformer-models.md) | 3 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 214 | 7.3 | [Deepfake video detection: challenges and opportunities](https://doi.org/10.1007/s10462-024-10810-6) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-05-29 | Achhardeep Kaur, Azadeh Noori Hoshyar, Vidya Saikrishna et al. |
| 2 | 212 | 6.9 | [Automatic speech recognition using advanced deep learning approaches: A survey](https://doi.org/10.1016/j.inffus.2024.102422) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2024-04-15 | Hamza Kheddar, Mustapha Hemis, Yassine Himeur |
| 3 | 164 | 4.9 | [A Novel Blockchain-Based Deepfake Detection Method Using Federated and Deep Learning Models](https://doi.org/10.1007/s12559-024-10255-7) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 2024-01-26 | Arash Heidari, Nima Jafari Navimipour, Hasan Dağ et al. |
| 4 | 64 | 2.0 | [Deep Learning for Visual Speech Analysis: A Survey](https://doi.org/10.1109/tpami.2024.3376710) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-03-13 | Changchong Sheng, Gangyao Kuang, Liang Bai et al. |
| 5 | 63 | 2.9 | [Approximate homomorphic encryption based privacy-preserving machine learning: a survey](https://doi.org/10.1007/s10462-024-11076-8) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2025-01-05 | Jiangjun Yuan, Weinan Liu, Jiawen Shi et al. |

## Used together with

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.

*What papers use TIMIT together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 8 | 3.5 |
| [LibriSpeech](https://scholar4ai.com/datasets/librispeech.md) | Dataset | 8 | 136.4 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 6 | 5.6 |
| [YouTube / TikTok](https://scholar4ai.com/datasets/youtube-tiktok.md) | Dataset | 6 | 3.4 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 5 | 3.8 |
| [Facebook](https://scholar4ai.com/datasets/facebook.md) | Dataset | 3 | 1.0 |
| [IMDb](https://scholar4ai.com/datasets/imdb.md) | Dataset | 3 | 13.3 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 3 | 5.4 |
| [VoxCeleb](https://scholar4ai.com/datasets/voxceleb.md) | Dataset | 3 | 89.1 |

The whole network: https://scholar4ai.com/code/network.md

## Cite this page

Scholar4AI. (2026). TIMIT. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/timit

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).