SPRINGLab/IndicTTS_Kannada

1---2dataset_info:3  features:4  - name: audio5    dtype: audio6  - name: text7    dtype: string8  - name: gender9    dtype:10      class_label:11        names:12          '0': female13          '1': male14  splits:15  - name: train16    num_bytes: 10657262266.10417    num_examples: 969418  download_size: 712876730019  dataset_size: 10657262266.10420configs:21- config_name: default22  data_files:23  - split: train24    path: data/train-*25task_categories:26- text-to-speech27language:28- kn29pretty_name: Kannada Indic TTS dataset30size_categories:31- 1K<n<10K32---33# Kannada Indic TTS Dataset34 35This dataset is derived from the Indic TTS Database project, specifically using the Kannada 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.36 37## Dataset Details38 39- **Language**: Kannada40- **Total Duration**: ~7.35 hours (Male: 3.4 hours, Female: 3.95 hours)41- **Audio Format**: WAV42- **Sampling Rate**: 48000Hz43- **Speakers**: 2 (1 male, 1 female native Kannada speakers)44- **Content Type**: Monolingual Kannada utterances45- **Recording Quality**: Studio-quality recordings46- **Transcription**: Available for all audio files47 48## Dataset Source49 50This 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.51 52## License & Usage53 54This 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).55 56## Acknowledgments57 58This dataset would not be possible without the work of the Speech Technology Consortium at IIT Madras. Special acknowledgment goes to:59- Speech Technology Consortium60- Department of Computer Science & Engineering and Electrical Engineering, IIT Madras61- Bhashini, MeitY62- Prof. Hema A Murthy & Prof. S Umesh63 64## Citation65 66If you use this dataset in your research or applications, please cite the original Indic TTS project:67 68```bibtex69@misc{indictts2023,70    title = {Indic {TTS}: A Text-to-Speech Database for Indian Languages},71    author = {Speech Technology Consortium and {Hema A Murthy} and {S Umesh}},72    year = {2023},73    publisher = {Indian Institute of Technology Madras},74    url = {https://www.iitm.ac.in/donlab/indictts/},75    institution = {Department of Computer Science and Engineering and Electrical Engineering, IIT MADRAS}76}77```78 79## Contact80 81For any issues or queries related to this HuggingFace dataset version, feel free to comment in the Community tab.82 83For queries related to the original Indic TTS database, please contact: smtiitm@gmail.com84 85## Original Database Access86 87The original complete database can be accessed at: https://www.iitm.ac.in/donlab/indictts/database88 89Note: 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.