|
--- |
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dataset_info: |
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features: |
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- name: audio |
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dtype: audio |
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- name: text |
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dtype: string |
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- name: gender |
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dtype: |
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class_label: |
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names: |
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'0': female |
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'1': male |
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splits: |
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- name: train |
|
num_bytes: 9067255387 |
|
num_examples: 11825 |
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download_size: 8210562900 |
|
dataset_size: 9067255387 |
|
configs: |
|
- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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language: |
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- hi |
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pretty_name: Hindi Indic TTS Dataset |
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size_categories: |
|
- 10K<n<100K |
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task_categories: |
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- text-to-speech |
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--- |
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|
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# Hindi Indic TTS Dataset |
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This dataset is derived from the Indic TTS Database project, specifically using the Hindi monolingual recordings from both male and female speakers. The dataset contains high-quality speech recordings with corresponding text transcriptions, making it suitable for text-to-speech (TTS) research and development. |
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## Dataset Details |
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- **Language**: Hindi |
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- **Total Duration**: ~10.33 hours (Male: 5.16 hours, Female: 5.18 hours) |
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- **Audio Format**: WAV |
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- **Sampling Rate**: 48000Hz |
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- **Speakers**: 2 (1 male, 1 female native Hindi speakers) |
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- **Content Type**: Monolingual Hindi utterances |
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- **Recording Quality**: Studio-quality recordings |
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- **Transcription**: Available for all audio files |
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## Dataset Source |
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This dataset is derived from the Indic TTS Database, a special corpus of Indian languages developed by the Speech Technology Consortium at IIT Madras. The original database covers 13 major languages of India and contains 10,000+ spoken sentences/utterances for both monolingual and English recordings. |
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## License & Usage |
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This dataset is subject to the original Indic TTS license terms. Before using this dataset, please ensure you have read and agreed to the [License For Use of Indic TTS](https://www.iitm.ac.in/donlab/indictts/downloads/license.pdf). |
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## Acknowledgments |
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This dataset would not be possible without the work of the Speech Technology Consortium at IIT Madras. Special acknowledgment goes to: |
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- Speech Technology Consortium |
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- Department of Computer Science & Engineering and Electrical Engineering, IIT Madras |
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- Bhashini, MeitY |
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- Prof. Hema A Murthy & Prof. S Umesh |
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## Citation |
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If you use this dataset in your research or applications, please cite the original Indic TTS project: |
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```bibtex |
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@misc{indictts2023, |
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title = {Indic {TTS}: A Text-to-Speech Database for Indian Languages}, |
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author = {Speech Technology Consortium and {Hema A Murthy} and {S Umesh}}, |
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year = {2023}, |
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publisher = {Indian Institute of Technology Madras}, |
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url = {https://www.iitm.ac.in/donlab/indictts/}, |
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institution = {Department of Computer Science and Engineering and Electrical Engineering, IIT MADRAS} |
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} |
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``` |
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## Contact |
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For any issues or queries related to this HuggingFace dataset version, feel free to comment in the Community tab. |
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For queries related to the original Indic TTS database, please contact: smtiitm@gmail.com |
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## Original Database Access |
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The original complete database can be accessed at: https://www.iitm.ac.in/donlab/indictts/database |
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Note: The original database provides access to data in multiple Indian languages and variants. This HuggingFace dataset specifically contains the Hindi monolingual portion of that database. |
