Common Voice Scripted Speech 23.0 - Kati

Locale: bsh

Size: 210.51 MB

Task: ASR

Format: MP3

License: CC-0


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

Kateviri is spoken in Afghanistan's province Noristan and in a few regions in Pakistan (Bumburait, Rumbur, Gobor). The number of speakers of Kateviri is around 40,000.

Demographic information

The dataset includes the following distribution of age and gender.

Gender

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

GenderPertentage
Undefined100.0%

Age

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

Age BandPercentage
Undefined15.0%
Twenties57.0%
Fifties28.0%

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 sentences from the corpus.

 شلماچ پشول گوسہ تیو کور اسیش وݜ مع اسیشا پموکچی ائ  ایمو تہ کائ نہ ائ

Automatic random samples

اپہ رہ اسہ لوم نعاں کں نئی
گُر داو دیوم نہ بُلہ ای
زوار انگا دے نگݜیے کنہ ستہ ایار
وسݣ عیستہ ارمان یں مع بگورواس گالوم افسوس
بری جِویا نونوا نہ ٹکیہ

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

Datasheet authors

Citation guidelines

bibtex @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}}

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.