Datasets:
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: 5889596679.04
num_examples: 16360
download_size: 5599853261
dataset_size: 5889596679.04
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- text-to-speech
language:
- mn
pretty_name: Manipuri Indic TTS dataset
size_categories:
- n<1K
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