Datasetpublic

pariajm/sharif_emotional_speech_dataset

Sharif Emotional Speech Dataset (ShEMO) Dataset Summary The dataset 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… See the full description on the dataset page: https://huggingface.co/datasets/pariajm/sharif_emotional_speech_dataset.

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face

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Dataset Card

Sharif Emotional Speech Dataset (ShEMO)

Dataset Summary

The dataset 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 ShEMO

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

Data Instances

Here is a sample of data instances:

json

"F21N37": {
    "speaker_id": "F21", 
    "gender": "female", 
    "emotion": "neutral", 
    "transcript": "مگه من به تو نگفته بودم که باید راجع به دورانت سکوت کنی؟", 
    "ipa": "mӕge mæn be to nægofte budӕm ke bɑyæd rɑdʒeʔ be dorɑnt sokut koni"
 }

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} } ~~~~

Download Dataset

To download the dataset, please check the ShEMO repo!