task_categories:audio-classification task_ids:audio-emotion-recognition annotations_creators:crowdsourced language_creators:expert-generated language_creators:crowdsourced multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:ru license:mit region:us
---
annotations_creators:
- crowdsourced
language_creators:
- expert-generated
- crowdsourced
language:
- ru
license:
- mit
multilinguality:
- monolingual
pretty_name: Russian Emotional Phonetic Voices
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- audio-classification
task_ids:
- audio-emotion-recognition
---

# Citations
```
@misc{Aniemore,
  author = {Артем Аментес, Илья Лубенец, Никита Давидчук},
  title = {Открытая библиотека искусственного интеллекта для анализа и выявления эмоциональных оттенков речи человека},
  year = {2022},
  publisher = {Hugging Face},
  journal = {Hugging Face Hub},
  howpublished = {\url{https://huggingface.com/aniemore/Aniemore}},
  email = {hello@socialcode.ru}
}
```
