emotion-tts-dataset
Dataset release for Emotional TTS in Indian Accent
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.9%) to scientific vocabulary
Repository
Dataset release for Emotional TTS in Indian Accent
Basic Info
- Host: GitHub
- Owner: skit-ai
- License: other
- Default Branch: main
- Size: 25.4 KB
Statistics
- Stars: 38
- Watchers: 7
- Forks: 2
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
About
This is a dataset for emotional TTS in an Indian English Accent. As per our knowledge it is the first public dataset for emotions in an Indian English Accent and one of the few Emotional TTS datasets out there. The dataset contains 30 mins of audio recordings in various emotions from a single speaker.
Download and Usage
The dataset can be downloaded by clicking on this link. Incase you face any issues please reach out to swaraj@skit.ai.
This dataset is shared under Creative Commons Attribution-NonCommercial 4.0 International Licence. This places restrictions on commercial use of this dataset.
Uses
There are quite a few TTS systems out there - you could even train your own, using an open-source dataset. But can we add emotions to this generated speech ? A naive approach could be to collect a large dataset of emotional speech - think LJ Speech in size but labelled with emotions. Instead, with this dataset we explore a different and less data-intensive approach - fine-tune a standard TTS system using a limited amount of emotional data. Essentially, our dataset explores how to build a low-resource emotional TTS.
Structure
This release contains data for the following 9 emotions by the same female speaker in an Indian English Accent : - base (neutral emotion) - angry - apologetic - calm - excited - fear - happy - sad - surprise
Duration : 30 mins of data for each emotion
Frequency : 22.05 Khtz
Structure :
- base
- wavs [contains the wav files]
- metadata.csv [contains the transcripts, where each row contains "<audio_file_name> | <text>"]
- angry
- wavs
- metadata.csv
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.
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More information regarding the dataset can be found under datasheet.md.
Citation
If you are using this dataset, please cite using the link in the About section on the right.
License
Shield: 
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Owner
- Name: Skit.ai
- Login: skit-ai
- Kind: organization
- Email: hello@skit.ai
- Location: Bangalore, India
- Website: https://skit.ai
- Twitter: SkitTech
- Repositories: 98
- Profile: https://github.com/skit-ai
Transforming Customer Experience with Voice AI
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it using these metadata." authors: - family-names: "Dalmia" given-names: "Swaraj" - family-names: "Tamuly" given-names: "Kaustav" - family-names: "Mishra" given-names: "Pulkit" - family-names: "Raaja" given-names: "Shangeth" - family-names: "Nethil" given-names: "Kumarmanas" - family-names: "Tushar" given-names: "Abhinav" title: "Emotional TTS Dataset in Indian English" abstract : "This dataset contains 9 emotion tonalities in Indian English; each tonality is of 30 mins duration." type: dataset keywords: - "Emotion" - "TTS" version: 1.0.0 date-released: 2021-12-02 url: "https://github.com/skit-ai/emotion-tts-dataset" license: MIT
GitHub Events
Total
- Watch event: 5
- Fork event: 1
Last Year
- Watch event: 5
- Fork event: 1
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Swaraj | s****j@v****i | 8 |
| Swaraj Dalmia | s****i@g****m | 7 |
| Manas | 4****1 | 3 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: about 1 hour
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 1.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- janaab11 (1)