Common Voice Scripted Speech 23.0 - Kati

کتہ وری — Kateviri (bsh)

This datasheet is for version 23.0 of the the Mozilla Common Voice Scripted Speech dataset for Kateviri (bsh). The dataset contains 11 hours of recorded speech (11 hours validated) from 14 speakers.

Language

Kate veri is spoken in Afghanistan's Province noristan and in a few regions in Pakistan ( bumburait, rumbur, gobor . The number of speakers of kate veri is around 40,000.

Variants

The dataset primarily includes (kamveri) kati as the main variety with limited samples from ashkun and prasun dialects these varieties are mutually intelligible to some extent but have differences in pronunciation.

Demographic information

The dataset includes the following distribution of age and gender.

Gender

Self-declared gender information, frequency refers to the number of clips annotated with this gender.

Age

Self-declared age information, frequency refers to the number of clips annotated with this age band.

Text corpus

The text corpus consists of transcriptions of spontaneous speech recorded from native Noristani speakers in natural conversations. The content includes everyday topics such as family, culture, daily routines, and local traditions. The dataset contains approximately 3000 to 5000 sentences and was collected primarily from speakers in and Bumburet, Rumbur, and Gabor valleys (Pakistan)

Writing system

Parso Arabic

Symbol table

ا آ ب پ ت ٹ ث ج چ ڄ ح خ څ د ڈ ر ڑ ز ژ ڗ س ش ݜ ص ض ط ظ ع غ ف ق ک گ ݣ ل م ن ݨ ں ݩ و ہ ھ ٴ ی ے

Sample

There follows a randomly selected sample of five sentences from the corpus. شلماچ پشول گوسہ تیو کور اسیش وݜ مع اسیشا پموکچی ائ ایمو تہ کائ نہ ائ

Sources

Recorded spontaneous conversations

Text domains

General, Agriculture and Food, Media and Entertainment, Nature and Environment, Language Fundamentals (e.g. Digits, Letters, Money)

Processing

The recordings were collected from native kate speakers, then manually transcribed. Background noise and silence were removed, and irrelevant parts were excluded. The text was checked for accuracy and aligned with the corresponding audio segments

Recommended post-processing

Yes. It is recommended to apply additional noise reduction, normalize audio levels, and perform a manual review of transcriptions for consistency. For advanced use, forced alignment and phonetic labeling can also improve the dataset quality

Community links

https://www.facebook.com/share/g/1Fw7UnLrtN/

Contribute

misc{noristani_dataset_2025, title={Noristani Spontaneous Speech Dataset}, author={Arshad Nasir}, year={2025}, howpublished={\url{https://commonvoice.mozilla.org}}, note={Noristani language corpus for spontaneous speech} }

Datasheet authors

Nasir mansoor Nasirmansorch@gmail.com

Funding

Meesum Alam Meesum.alam12@gmail.com

Licence

This dataset is released under the Creative Commons Zero (CC-0) licence. By downloading this data you agree to not determine the identity of speakers in the dataset.