Scholar4AI Updated 2026-10-26 13:22 UTC+09:00

Speech and audio benchmarks

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

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Speech, speaker and sound collections.

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)
DatasetPapersLast 7 daysNames searched for
Speech emotion (IEMOCAP, RAVDESS)30IEMOCAP, RAVDESS
LibriSpeech10LibriSpeech
AudioSet / ESC-5000AudioSet, ESC-50
Common Voice00Mozilla Common Voice, Common Voice dataset, Common Voice corpus
TIMIT00TIMIT
VoxCeleb00VoxCeleb
Papers mentioning these datasets, newest first.
DateTitleJournalAuthorsAffiliationsDatasets mentioned
2026-10-16ITEACH-Net: Inverted teacher-student search network for emotion recognition in conversationArtificial IntelligenceHaiyang Sun, Zheng Lian, Chenglong Wang et al.Chinese Academy of Sciences; Institute of Automation; University of Chinese Academy of Sciences; …Speech emotion (IEMOCAP, RAVDESS)
2026-10-01Cross-Modal Proxy Distillation with soft label filtering for multimodal emotion recognition in conversationsKnowledge-Based SystemsHaoyang Zhong, Guihua Wen, Hui Li et al.Guangdong Polytechnic Normal University; South China University of Technology; Jilin Engineering Normal UniversitySpeech emotion (IEMOCAP, RAVDESS)
2026-10-01A comprehensive survey on multimodal sentiment analysis: Approaches, challenges and open issuesInternational Journal of Information ManagementFatemeh Hemmatian, Arash Sabbaghi, Mohammad Karim SohrabiIslamic Azad University SemnanSpeech emotion (IEMOCAP, RAVDESS)
2026-09-30P2Mark: Plug-and-play parameter-level watermarking for neural speech generationArtificial IntelligenceYong 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

@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}
}

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