annotations_creators:
- expert-generated
language_creators:
- expert-generated
languages:
- fa
licenses:
- apache-2.0
multilinguality:
- monolingual
pretty_name: Sharif Emotional Speech Database (ShEMO)
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- automatic-speech-recognition
task_ids:
- speech-recognition
Sharif Emotional Speech Database (ShEMO)
Dataset Summary
The database includes 3000 semi-natural utterances, equivalent to 3 hours and 25 minutes of speech data extracted from online Persian radio plays. The ShEMO covers speech samples of 87 native-Persian speakers for five basic emotions including anger, fear, happiness, sadness and surprise, as well as neutral state. Twelve annotators label the underlying emotional state of utterances and majority voting is used to decide on the final labels. According to the kappa measure, the inter-annotator agreement is 64% which is interpreted as "substantial agreement".
Languages
Persian (fa)
Overview of Sharif Emotional Speech (ShEMO) Database
| Feature | Status |
|---|---|
| License | apache-2.0 |
| Language | Persian (fa) |
| Modality | Speech |
| Duration | 3 hours and 25 minutes |
| #Utterances | 3000 |
| #Speakers | 87 (31 females, 56 males) |
| #Emotions | 5 basic emotions (anger, fear, happiness, sadness and surprise) and neutral state |
| Orthographic transcripts | Available |
| Phonetic transcripts | Available |
Description of Labels
The characters used in the label of the utterances and their corresponding meaning:
- A: anger emotion
- F: female speaker (if used at the beginning of the label e.g.
F14A09) or fear (if used in the middle of the label e.g.M02F01) - H : happiness
- M : male speaker
- N : neutral
- S : sadness
- W : surprise
e.g. F03S02 F means the speaker is female, 03 denotes the speaker code, S refers to the underlying emotion of the utterance which is sadness, 02 means this is the second utterance for this speaker in sad emotion.
Citation
If you use this dataset, please cite the following paper:
@Article{MohamadNezami2019,
author = {Mohamad Nezami, Omid and Jamshid Lou, Paria and Karami, Mansoureh},
title = {ShEMO: a large-scale validated database for Persian speech emotion detection},
journal = {Language Resources and Evaluation},
year = {2019},
volume = {53},
number = {1},
pages = {1--16},
issn = {1574-0218},
doi = {10.1007/s10579-018-9427-x},
url = {https://doi.org/10.1007/s10579-018-9427-x}
}