---
title: "Speech and audio benchmarks datasets"
description: "Datasets in the category “Speech and audio benchmarks” were mentioned in 4 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #49 of the 58 data categories mentioned."
url: https://scholar4ai.com/datasets/speech-and-audio-benchmarks
markdown_url: https://scholar4ai.com/datasets/speech-and-audio-benchmarks.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Datasets in the category “Speech and audio benchmarks” were mentioned in 4 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #49 of the 58 data categories mentioned."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T14:52:47+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Speech and audio benchmarks

Speech, speaker and sound collections.

- 0 papers in the last 7 days
- 2 of its 6 datasets mentioned

Back to the ranking: https://scholar4ai.com/rankings/datasets.md

## Key findings

- Datasets in the category “Speech and audio benchmarks” were mentioned in 4 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #49 of the 58 data categories mentioned.
- The most-mentioned were Speech emotion (IEMOCAP, RAVDESS) (3) and LibriSpeech (1).
- By journal category: AI (3) and Management (1).
- Most of them appeared in Artificial Intelligence (2), Knowledge-Based Systems (1) and International Journal of Information Management (1).

## Datasets

*Datasets in this category · 2026-09-27 – 2026-10-26 (30 days)*

| Dataset | Papers | Last 7 days | Names searched for |
|---|---:|---:|---|
| Speech emotion (IEMOCAP, RAVDESS) | 3 | 0 | IEMOCAP, RAVDESS |
| LibriSpeech | 1 | 0 | LibriSpeech |
| AudioSet / ESC-50 | 0 | 0 | AudioSet, ESC-50 |
| Common Voice | 0 | 0 | Mozilla Common Voice, Common Voice dataset, Common Voice corpus |
| TIMIT | 0 | 0 | TIMIT |
| VoxCeleb | 0 | 0 | VoxCeleb |

## Papers

*Papers mentioning these datasets, newest first.*

| Date | Title | Journal | Authors | Affiliations | Datasets mentioned |
|---|---|---|---|---|---|
| 2026-10-16 | [ITEACH-Net: Inverted teacher-student search network for emotion recognition in conversation](https://doi.org/10.1016/j.artint.2026.104643) | [Artificial Intelligence](https://scholar4ai.com/journals/artificial-intelligence.md) | Haiyang Sun, Zheng Lian, Chenglong Wang et al. | Chinese Academy of Sciences; Institute of Automation; University of Chinese Academy of Sciences; … | Speech emotion (IEMOCAP, RAVDESS) |
| 2026-10-01 | [Cross-Modal Proxy Distillation with soft label filtering for multimodal emotion recognition in conversations](https://doi.org/10.1016/j.knosys.2026.117114) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Haoyang Zhong, Guihua Wen, Hui Li et al. | Guangdong Polytechnic Normal University; South China University of Technology; Jilin Engineering Normal University | Speech emotion (IEMOCAP, RAVDESS) |
| 2026-10-01 | [A comprehensive survey on multimodal sentiment analysis: Approaches, challenges and open issues](https://doi.org/10.1016/j.ijinfomgt.2026.103138) | [International Journal of Information Management](https://scholar4ai.com/journals/international-journal-of-information-management.md) | Fatemeh Hemmatian, Arash Sabbaghi, Mohammad Karim Sohrabi | Islamic Azad University Semnan | Speech emotion (IEMOCAP, RAVDESS) |
| 2026-09-30 | [P2Mark: Plug-and-play parameter-level watermarking for neural speech generation](https://doi.org/10.1016/j.artint.2026.104627) | [Artificial Intelligence](https://scholar4ai.com/journals/artificial-intelligence.md) | Yong Sheng Ren, Jiangyan Yi, Tao Wang et al. | Chinese Academy of Sciences; Institute of Automation; University of Chinese Academy of Sciences; … | LibriSpeech |

## Cite this page

Scholar4AI. (2026). Speech and audio benchmarks. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/datasets/speech-and-audio-benchmarks

```bibtex
@misc{scholar4ai-datasets-speech-and-audio-benchmarks,
  author = {{Scholar4AI}},
  title = {Speech and audio benchmarks},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/speech-and-audio-benchmarks}},
  urldate = {2026-10-26},
  note = {Journal 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/).