Create README.md

README.md

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+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 <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, 
+the inter-annotator agreement is 64% which is interpreted as "substantial agreement".
+
+Languages
+Persian (fa)
+
+
+## Overview of Sharif Emotional Speech (ShEMO) Database
+
+ Feature                     | Status   
+-------------                | ----------
+**Access**                   | Open source
+**Language**                 | Persian
+**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}
+}
+~~~~