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--- |
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annotations_creators: |
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- expert-generated |
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language_creators: |
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- expert-generated |
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language: |
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- fa |
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license: |
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- apache-2.0 |
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multilinguality: |
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- monolingual |
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pretty_name: Sharif Emotional Speech Dataset (ShEMO) |
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size_categories: |
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- 1K<n<10K |
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source_datasets: |
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- radio-plays |
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task_categories: |
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- automatic-speech-recognition |
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task_ids: |
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- speech-recognition |
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--- |
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|
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## Sharif Emotional Speech Dataset (ShEMO) |
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## Dataset Summary |
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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 <i>anger</i>, <i>fear</i>, <i>happiness</i>, <i>sadness</i> and <i>surprise</i>, 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, |
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the inter-annotator agreement is 64% which is interpreted as "substantial agreement". |
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## Languages |
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Persian (fa) |
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## Overview of ShEMO |
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Feature | Status |
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------------- | ---------- |
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**license** | apache-2.0 |
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**language** | Persian (fa) |
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**modality** | Speech |
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**duration** | 3 hours and 25 minutes |
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**#utterances** | 3000 |
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**#speakers** | 87 (31 females, 56 males) |
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**#emotions** | 5 basic emotions (anger, fear, happiness, sadness and surprise) and neutral state |
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**orthographic transcripts** | Available |
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**phonetic transcripts** | Available |
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|
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## Data Instances |
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Here is a sample of data instances: |
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```json |
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"F21N37": { |
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"speaker_id": "F21", |
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"gender": "female", |
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"emotion": "neutral", |
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"transcript": "مگه من به تو نگفته بودم که باید راجع به دورانت سکوت کنی؟", |
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"ipa": "mӕge mæn be to nægofte budӕm ke bɑyæd rɑdʒeʔ be dorɑnt sokut koni" |
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} |
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``` |
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## Citation |
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If you use this dataset, please cite the following paper: |
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~~~~ |
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@Article{MohamadNezami2019, |
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author = {Mohamad Nezami, Omid and Jamshid Lou, Paria and Karami, Mansoureh}, |
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title = {ShEMO: a large-scale validated database for Persian speech emotion detection}, |
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journal = {Language Resources and Evaluation}, |
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year = {2019}, |
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volume = {53}, |
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number = {1}, |
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pages = {1--16}, |
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issn = {1574-0218}, |
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doi = {10.1007/s10579-018-9427-x}, |
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url = {https://doi.org/10.1007/s10579-018-9427-x} |
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} |
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~~~~ |
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## Download Dataset |
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To download the dataset, please check the [ShEMO repo](https://github.com/pariajm/sharif-emotional-speech-database)! |
