---
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: 301524570.0
    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. 


```bib

Shafi, Kh Mohmad; Bhat, Asif Ali; Imtiyaz, Kamran ; Iqbal, Javaid (2024), “KTTS Single Speaker Dataset”, Mendeley Data, V2, doi: 10.17632/5c4dcvxdmb.2
```