---
title: "LibriSpeech: tasks, downloads and usage conditions"
description: "LibriSpeech: compare tasks, official access, usage conditions and evaluation. Includes research-paper mention counts and trends."
url: https://scholar4ai.com/datasets/librispeech
markdown_url: https://scholar4ai.com/datasets/librispeech.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "LibriSpeech: 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)
---

# LibriSpeech

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/4.md)

Speech, speaker and sound collections.

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

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 |
|---|---|---|---|
| LibriSpeech / SLR12 | English read-speech recognition; approximately 1,000 hours at 16 kHz. Evaluation: Report word error rate by clean/other test set, training hours, text normalization and external language-model data. | [Official source / documentation](https://www.openslr.org/12) Download train-clean-100/360 and train-other-500 as needed; keep dev/test clean and other separate. | CC BY 4.0, as specified by OpenSLR; retain attribution. |

Guide updated 2026-11-05.

## Key findings

- From Nov 2023 to Oct 2026, 49 archived papers mentioned LibriSpeech in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jul 2024 (4).
- LibriSpeech was mentioned in 1 paper in the last 30 days (2026-10-07 to 2026-11-05), ranking #165 of the 246 datasets mentioned.
- By journal category: AI (1).
- Most of them appeared in Speech Communication (1).
- From 2017 to 2026 (so far), LibriSpeech was mentioned in 61 papers in the tracked journals, most of them in AI (59), higher education and research (1) and operations research (1).
- 16 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Centre National de la Recherche Scientifique (4), Chinese Academy of Sciences (4) and Tsinghua University (4).
- The journals publishing most of them were Computer Speech & Language (19), IEEE Transactions on Pattern Analysis and Machine Intelligence (4) and Speech Communication (4).
- The most-cited of them is “A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024), with 512 citations.
- Papers use LibriSpeech most often with YouTube / TikTok (10), TIMIT (8) and VoxCeleb (6); it has 11 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 |
|---|---:|---:|---:|---:|
|  | 18 | 17 | 14 | 49 |

## 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) | 0 | 0 | 0 | 0 | 2 | 5 | 6 | 18 | 16 | 12 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| All categories | 0 | 0 | 0 | 0 | 2 | 5 | 7 | 18 | 16 | 13 |

## 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) | 19 |
| 2 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 4 |
| 3 | [Speech Communication](https://scholar4ai.com/journals/speech-communication.md) | 4 |
| 4 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 3 |
| 5 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 3 |
| 6 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 3 |
| 7 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| 8 | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 2 |
| 9 | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | 2 |
| 10 | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 2 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 4 |
| 2 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 4 |
| 3 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 4 |
| 4 | [Carnegie Mellon University](https://scholar4ai.com/institutions/carnegie-mellon-university.md) | 3 |
| 5 | [Institut national de recherche en sciences et technologies du numérique](https://scholar4ai.com/institutions/institut-national-de-recherche-en-sciences-et-technologies-du-numerique.md) | 3 |
| 6 | [Institute of Automation](https://scholar4ai.com/institutions/institute-of-automation.md) | 3 |
| 7 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 3 |
| 8 | [University of Cambridge](https://scholar4ai.com/institutions/university-of-cambridge.md) | 3 |
| 9 | [University of Sheffield](https://scholar4ai.com/institutions/university-of-sheffield.md) | 3 |
| 10 | CentraleSupélec | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 18 |
| 2 | United Kingdom | 11 |
| 3 | United States | 9 |
| 4 | France | 7 |
| 5 | Canada | 5 |
| 6 | India | 4 |
| 7 | United Arab Emirates | 3 |
| 8 | Germany | 3 |
| 9 | Hong Kong | 3 |
| 10 | Israel | 3 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | LibriSpeech | 12 |
| 2 | speech recognition | 11 |
| 3 | text-to-speech | 7 |
| 4 | end-to-end speech recognition | 4 |
| 5 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 4 |
| 6 | Whisper | 3 |
| 7 | [data augmentation](https://scholar4ai.com/keywords/data-augmentation.md) | 3 |
| 8 | pre-training | 3 |
| 9 | speaker identification | 3 |
| 10 | [transfer learning](https://scholar4ai.com/keywords/transfer-learning.md) | 3 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 512 | 19.3 | [A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations](https://doi.org/10.1109/tpami.2024.3447085) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-08-21 | Hongrong Cheng, Miao Zhang, Qinfeng Shi |
| 2 | 495 | 14.0 | [A comprehensive survey on applications of transformers for deep learning tasks](https://doi.org/10.1016/j.eswa.2023.122666) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2023-11-22 | Saidul Islam, Hanae Elmekki, Ahmed Elsebai et al. |
| 3 | 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 |
| 4 | 67 | 3.2 | [Uni-MoE: Scaling Unified Multimodal LLMs With Mixture of Experts](https://doi.org/10.1109/tpami.2025.3532688) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2025-02-13 | Yunxin Li, Shenyuan Jiang, Baotian Hu et al. |
| 5 | 52 | 0.9 | [DeepResGRU: Residual gated recurrent neural network-augmented Kalman filtering for speech enhancement and recognition](https://doi.org/10.1016/j.knosys.2021.107914) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2021-12-11 | Nasir Saleem, Jiechao Gao, Muhammad Irfan Khattak et al. |

## Used together with

Papers use LibriSpeech most often with YouTube / TikTok (10), TIMIT (8) and VoxCeleb (6); it has 11 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

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

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [YouTube / TikTok](https://scholar4ai.com/datasets/youtube-tiktok.md) | Dataset | 10 | 4.2 |
| [TIMIT](https://scholar4ai.com/datasets/timit.md) | Dataset | 8 | 136.4 |
| [VoxCeleb](https://scholar4ai.com/datasets/voxceleb.md) | Dataset | 6 | 134.4 |
| [AudioSet / ESC-50](https://scholar4ai.com/datasets/audioset-esc-50.md) | Dataset | 5 | 80.0 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 5 | 1.7 |
| [Action recognition (Kinetics, UCF101, HMDB51)](https://scholar4ai.com/datasets/action-recognition-kinetics-ucf101-hmdb51.md) | Dataset | 4 | 10.8 |
| [Facebook](https://scholar4ai.com/datasets/facebook.md) | Dataset | 3 | 0.8 |
| [Hugging Face Hub](https://scholar4ai.com/datasets/hugging-face-hub.md) | Dataset | 3 | 5.0 |
| [Pre-training corpora (Common Crawl, C4, The Pile)](https://scholar4ai.com/datasets/pre-training-corpora-common-crawl-c4-the-pile.md) | Dataset | 3 | 21.4 |
| [Reddit](https://scholar4ai.com/datasets/reddit.md) | Dataset | 3 | 3.9 |
| [Speech emotion (IEMOCAP, RAVDESS)](https://scholar4ai.com/datasets/speech-emotion-iemocap-ravdess.md) | Dataset | 3 | 14.7 |

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

## Papers

*Papers mentioning LibriSpeech in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-08 | [Swichformer: Switch context powered chunk-wise conformer for end-to-end streaming automatic speech recognition](https://doi.org/10.1016/j.specom.2026.103490) | [Speech Communication](https://scholar4ai.com/journals/speech-communication.md) | Fangyuan Wang, Xiyuan Wang, Taocun Yang et al. | Chinese Academy of Sciences; Institute of Automation |

## Cite this page

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

```bibtex
@misc{scholar4ai-datasets-librispeech,
  author = {{Scholar4AI}},
  title = {LibriSpeech},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/librispeech}},
  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/).