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Datasets:
skit-ai
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emotion-tts

License:
Dataset card Files
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Reformat dataset for Dataset Viewer + add Dataset Card

Browse files

As discussed in #1:
- Replace emotions.zip with AudioFolder structure (metadata.csv + wav files per emotion)
- Add Dataset Card with overview, composition, and recommended uses
- Add datasheet.md following the Datasheets for Datasets framework

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  1. README.md +83 -3
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README.md CHANGED
@@ -1,3 +1,83 @@
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- ---
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- license: cc-by-nc-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ task_categories:
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+ - text-to-speech
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+ language:
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+ - en
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+ size_categories:
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+ - 1K<n<10K
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+ license: cc-by-nc-4.0
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+ tags:
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+ - emotion
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+ - tts
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+ - indian-english
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+ ---
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+
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+ # Emotion TTS Dataset
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+
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+ The first public dataset for emotional text-to-speech in an Indian English accent. It contains ~30 minutes of emotional speech recordings per emotion from a single female speaker, designed for training low-resource emotional TTS systems.
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+
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+ ## Dataset Overview
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+
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+ | Property | Value |
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+ |----------|-------|
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+ | **Speaker** | Single female (Indian English accent) |
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+ | **Sample Rate** | 22.05 kHz |
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+ | **Format** | WAV |
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+ | **Total Duration** | ~240 minutes |
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+ | **Total Samples** | 2,843 |
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+ | **Emotions** | 8 (angry, apologetic, base, calm, excited, fear, happy, sad) |
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+
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+ ## Data Composition
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+
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+ Each instance is a text-audio pair where the audio represents the text spoken with a specific emotional inflection.
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+
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+ ### Instance Fields
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+
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+ - `file_name` — path to the audio file
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+ - `text` — transcribed text
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+ - `emotion` — emotion label
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+
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+ ### Samples per Emotion
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+
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+ | Emotion | Count |
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+ |---------|-------|
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+ | Base (neutral) | 410 |
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+ | Excited | 391 |
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+ | Angry | 370 |
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+ | Happy | 360 |
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+ | Calm | 348 |
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+ | Fear | 339 |
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+ | Sad | 335 |
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+ | Apologetic | 290 |
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+
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+ ### Notes on Composition
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+
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+ - The dataset contains non-correlated text-emotion pairs — the text content does not necessarily match the conveyed emotion.
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+ - This is a random sampling of ~30 minutes per emotion from a larger collection spanning 1–5 hours per emotion.
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+ - No recommended train/test split is provided.
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+
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+ ## Recommended Uses
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+
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+ - Low-resource emotional TTS for Indian English
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+ - Transfer learning for emotional prosody
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+ - Single-speaker emotion recognition
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+ - Acoustic-emotional information disentanglement from text sentiment
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+
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+ ## Datasheet
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+
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+ See [datasheet.md](./datasheet.md) for the full [Datasheets for Datasets](https://arxiv.org/abs/1803.09010) documentation.
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+
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+ ## License
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+
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+ CC BY-NC 4.0
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{emotion-tts-2021,
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+ title={Emotional TTS Dataset in Indian English},
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+ author={Swaraj Dalmia and Kaustav Tamuly and Pulkit Mishra and Shangeth Raaja and Kumarmanas Nethil and Abhinav Tushar},
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+ year={2021},
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+ url={https://github.com/skit-ai/emotion-tts-dataset}
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+ }
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+ ```
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