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--- |
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license: mit |
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task_categories: |
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- audio-classification |
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language: |
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- bn |
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pretty_name: SUST BANGLA EMOTIONAL SPEECH CORPUS |
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size_categories: |
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- 1K<n<10K |
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--- |
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# SUST BANGLA EMOTIONAL SPEECH CORPUS |
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## Dataset Description |
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- **Homepage:** |
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- **Repository:** |
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- **Paper:** |
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- **Leaderboard:** |
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- **Point of Contact:** [Sadia Sultana](sadia-cse@sust.edu) |
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### Dataset Summary |
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SUBESCO is an audio-only emotional speech corpus of 7000 sentence-level utterances of the Bangla language. 20 professional actors (10 males and 10 females) participated in the recordings of 10 sentences for 7 target emotions. The emotions are Anger, Disgust, Fear, Happiness, Neutral, Sadness and Surprise. Total duration of the corpus is 7 hours 40 min 40 sec. Total size of the dataset is 2.03 GB. The dataset was evaluated by 50 raters (25 males, 25 females). Human perception test achieved a raw accuracy of 71%. All the details relating to creation, evaluation and analysis of SUBESCO have been described in the corresponding journal paper which has been published in Plos One. |
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https://doi.org/10.1371/journal.pone.0250173 |
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### Downloading the data |
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``` |
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from datasets import load_dataset |
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train = load_dataset("sustcsenlp/bn_emotion_speech_corpus",split="train") |
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``` |
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### Naming Convention |
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Each audio file in the dataset has a unique name. There are eight parts in the file name where all the parts are connected by underscores. The order of all the parts is organized as: Gender-Speaker's serial number-Speaker's name-Unit of recording-Unit number- Emotion name- Repeating number and the File format. |
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For example, the filename F_02_MONIKA_S_1_NEUTRAL_5.wav refers to: |
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| Symbol | Meaning | |
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| ----------- | ----------- | |
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| F | Speaker Gender | |
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| 02 | Speaker Number | |
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| MONIKA | Speaker Name | |
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| S_1 | Sentence Number | |
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| NEUTRAL | Emotion | |
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| 5 | Take Number | |
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### Languages |
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This dataset contains Bangla Audio Data. |
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## Dataset Structure |
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### Data Instances |
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[More Information Needed] |
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### Data Fields |
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[More Information Needed] |
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### Data Splits |
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[More Information Needed] |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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[More Information Needed] |
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### Contributions |
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[More Information Needed] |
