programindz/kashmiri-tts-single-speaker

Kashmiri Single Speaker TTS Corpus

Overview

This repository provides a single-speaker Kashmiri Text-to-Speech (TTS) corpus in Perso-Arabic script. The dataset consists of paired speech recordings and text transcriptions intended for training and evaluating neural text-to-speech systems. All recordings were produced by a single male native Kashmiri speaker.

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Dataset Statistics

Property	Value
Number of utterances	2984
Total duration	4.42 hours
Average utterance duration	5.33 s
Speaker count	1
Language	Kashmiri
Script	Perso-Arabic
Audio format	WAV
Sampling rate	48 kHz

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Example

Audio	Text
2.wav	زِپھ نہ کران زۄل نہ کران

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Intended Uses

This dataset is intended for

• Neural Text-to-Speech
• Voice Cloning
• Speech Representation Learning
• Alignment Models
• Pronunciation Modeling
• Low-resource speech research

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Source Dataset

This Hugging Face dataset is a structured redistribution of the publicly available KTTS Single Speaker Dataset. The original dataset contains 2,984 single-speaker Kashmiri recordings sampled at 48 kHz together with aligned text transcriptions. It was created to support the development of Kashmiri text-to-speech systems and was recorded using a single male speaker after text collection and quality filtering.

Original source:

https://data.mendeley.com/datasets/5c4dcvxdmb/2

Contributors:

• Kh Mohmad Shafi
• Asif Ali Bhat
• Kamran Imtiyaz
• Javaid Iqbal

Institution:

University of Kashmir

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License

Please follow the license of the original dataset.

CC BY-NC 3.0

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Citation

If you use this dataset, please cite the original publication.

@dataset{KTTS2024,
  author = {Shafi, Kh Mohmad and Bhat, Asif Ali and Imtiyaz, Kamran and Iqbal, Javaid},
  title = {KTTS Single Speaker Dataset},
  year = {2024},
  publisher = {Mendeley Data},
  version = {2},
  doi = {10.17632/5c4dcvxdmb.2}
}