dataset_info:
features:
- name: file_name
dtype: string
- name: sentence
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: duration
dtype: float64
- name: sample_rate
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1226816698.725
num_examples: 2387
- name: test
num_bytes: 301524570
num_examples: 597
download_size: 1418295955
dataset_size: 1528341268.725
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
KTTS Single Speaker Dataset Published: 30 August 2024 | Version 2 | DOI: 10.17632/5c4dcvxdmb.2 Contributors: Kh Mohmad Shafi , Asif Ali Bhat , Kamran Imtiyaz , Javaid Iqbal Description This dataset has been primarily developed to facilitate the creation of text-to-speech systems for the Kashmiri language, a digitally underrepresented language predominantly spoken in the Jammu and Kashmir region of India. The dataset comprises 2,984 audio recordings in WAV format, each accompanied by its corresponding textual data in a separate file named ‘textcorpus.csv’. The ‘id’ column in the CSV file serves as a unique identifier, allowing users to efficiently locate the corresponding WAV files, which are systematically named according to the ‘id’ associated with the sentences they contain. All recordings feature a single male voice with a sample rate of 48,000 Hz, ensuring high-quality audio suitable for detailed phonetic analysis and machine learning applications. This consistent audio quality across the dataset provides a reliable foundation for training and testing text-to-speech models. Furthermore, the dataset can be a valuable resource for future research and development efforts aimed at enhancing digital accessibility for the Kashmiri-speaking population.
Omarrran/kashmiri_single_speaker_ttd_hf_dataset_2024
Dataset Description
This dataset contains Kashmiri text-to-speech (TTS) data, including paired text and audio files.
Dataset Statistics
- Total number of samples: 2984
- Number of samples in train split: 2387
- Number of samples in test split: 597
Audio Statistics
- Total audio duration: 15914.16 seconds (4.42 hours)
- Average audio duration: 5.33 seconds
- Minimum audio duration: 1.98 seconds
- Maximum audio duration: 12.60 seconds
Text Statistics
- Total number of words: 31365
- Average number of words per sample: 10.51
- Minimum number of words in a sample: 5
- Maximum number of words in a sample: 26
Dataset Structure
The dataset contains the following fields:
file_name: Value(dtype='string', id=None)sentence: Value(dtype='string', id=None)audio: Audio(sampling_rate=16000, mono=True, decode=True, id=None)duration: Value(dtype='float64', id=None)sample_rate: Value(dtype='int64', id=None)__index_level_0__: Value(dtype='int64', id=None)
Usage Example
Here's a simple example of how to load and use this dataset:
from datasets import load_dataset
dataset = load_dataset('Omarrran/kashmiri_single_speaker_ttd_hf_dataset_2024')
# Access the training split
train_data = dataset['train']
# Get the first sample
first_sample = train_data[0]
print(f"Text: {first_sample['text']}")
print(f"Audio file: {first_sample['audio']}")
License
Please refer to the dataset card for license information.
Citation
If you use this dataset in your research, please cite it as follows:
@dataset{KTTS Single Speaker Dataset,
author = {Shafi, Kh Mohmad; Bhat, Asif Ali; Imtiyaz, Kamran ; Iqbal, Javaid (2024), “KTTS Single Speaker Dataset”, Mendeley Data, V2, doi: 10.17632/5c4dcvxdmb.2
},
title = {Omarrran/kashmiri_single_speaker_ttd_hf_dataset_2024},
year = {2023},
url = {https://huggingface.co/datasets/Omarrran/kashmiri_single_speaker_ttd_hf_dataset_2024}
}