SPRINGLab/IndicTTS_Manipuri

Manipuri Indic TTS Dataset

This dataset is derived from the Indic TTS Database project, specifically using the Manipuri 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: Manipuri
• Total Duration: ~20.75 hours (Male: 10.61 hours, Female: 10.14 hours)
• Audio Format: WAV
• Sampling Rate: 48000Hz
• Speakers: 2 (1 male, 1 female native Manipuri speakers)
• Content Type: Monolingual Manipuri 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.

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:

@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: [email protected]

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.