| --- |
| dataset_info: |
| features: |
| - name: audio |
| dtype: audio |
| - name: text |
| dtype: string |
| - name: gender |
| dtype: |
| class_label: |
| names: |
| '0': female |
| '1': male |
| splits: |
| - name: train |
| num_bytes: 6469509500.814 |
| num_examples: 13129 |
| download_size: 6578978180 |
| dataset_size: 6469509500.814 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| task_categories: |
| - text-to-speech |
| language: |
| - ml |
| pretty_name: Malayalam Indic TTS dataset |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Malayalam Indic TTS Dataset |
|
|
| This dataset is derived from the Indic TTS Database project, specifically using the Malayalam 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. |
|
|
| ## Dataset Details |
|
|
| - **Language**: Malayalam |
| - **Total Duration**: ~17.89 hours (Male: 9.7 hours, Female: 8.19 hours) |
| - **Audio Format**: WAV |
| - **Sampling Rate**: 48000Hz |
| - **Speakers**: 2 (1 male, 1 female native Malayalam speakers) |
| - **Content Type**: Monolingual Malayalam utterances |
| - **Recording Quality**: Studio-quality recordings |
| - **Transcription**: Available for all audio files |
|
|
| ## Dataset Source |
|
|
| 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. |
|
|
| ## License & Usage |
|
|
| 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). |
|
|
| ## Acknowledgments |
|
|
| This dataset would not be possible without the work of the Speech Technology Consortium at IIT Madras. Special acknowledgment goes to: |
| - Speech Technology Consortium |
| - Department of Computer Science & Engineering and Electrical Engineering, IIT Madras |
| - Bhashini, MeitY |
| - Prof. Hema A Murthy & Prof. S Umesh |
|
|
| ## Citation |
|
|
| If you use this dataset in your research or applications, please cite the original Indic TTS project: |
|
|
| ```bibtex |
| @misc{indictts2023, |
| title = {Indic {TTS}: A Text-to-Speech Database for Indian Languages}, |
| author = {Speech Technology Consortium and {Hema A Murthy} and {S Umesh}}, |
| year = {2023}, |
| publisher = {Indian Institute of Technology Madras}, |
| url = {https://www.iitm.ac.in/donlab/indictts/}, |
| institution = {Department of Computer Science and Engineering and Electrical Engineering, IIT MADRAS} |
| } |
| ``` |
|
|
| ## Contact |
|
|
| For any issues or queries related to this HuggingFace dataset version, feel free to comment in the Community tab. |
|
|
| For queries related to the original Indic TTS database, please contact: smtiitm@gmail.com |
|
|
| ## Original Database Access |
|
|
| The original complete database can be accessed at: https://www.iitm.ac.in/donlab/indictts/database |
|
|
| 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. |
