Common Voice Scripted Speech 23.0 - Northern Hindko

Locale: hno

Size: 79.84 MB

Task: ASR

Format: MP3

License: CC-0


شمالی ہندکو — Northern Hindko (hno)

This datasheet is for version 23.0 of the the Mozilla Common Voice Scripted Speech dataset for Northern Hindko (hno). The dataset contains 11 hours of recorded speech (11 hours validated) from 36 speakers.

Language

Hindko language is spoken mainly in Northwestern region of Pakistan by about eight million people. hno variety of Hindko is used mainly in Hazara region of Khyper Pakhtunkhaw, Kaghan valley & Muzaffarabad divion of Pakistan administered Kashmir and in parts of Indian administered Kashmir as well. Oral discourse of Hindko covers a wide range of subjects, including religion, education, poetry, politics, theater etc.

Variants

There are mainly two varities of the Hindko acknowledged. Southern variety ISO639-3-hnd mainly spoken in Peshawar, Kohat & Attack districts of Khyber Pakhtuunkhaw. The Northern varitey ISO639-3-hno is spoken in Hazara division & Kaghan valley of Khyber Pakhtuunkhaw and Muzaffarabad division of Pakistan Administered Kashmir and in parts of Indian Administerd Kashmir. This dataset represents the Nothern variety.

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 corpus of the langauge is mainly created/written on everyday discourse topics such as geography of the area, langauge, culture, education, sports activities, tourism potential of the area etc. There are more than three thousands sentences in the dataset and word count is around 20 thousand.

Writing system

{erso-Arabic script using a spelling system based on Punjabi is used for the Hindko corpus.

Symbol table

ئ ے ی ء ھ ہ ٷ ؤ و ݩ ں ن م ل گ ک ڨ ق ف غ ع ظ ط ض ص ش س ݬ ز ڑ ر ذ ڈ د ڇ خ ح چ ج ث ٹ ت پ ب ا اّ

Sample

There follows a randomly selected sample of five sentences from the corpus. س ہک پہاڑی سلسلے سنڑ اِناں دویاں کو جدا رکھیا دا ہے۔ رانڑے مردم شماری دی گل کردے آں۔ اتھو ہک اہم راہ آسا۔ تاکہ شہر سہنڑے لگّن۔ پھول کلیاں رسالے بچ کہانڑیاں ہوندیاں آسیاں۔

Sources

Written by Muhammad Ilyas (Muzaffarabad) “likhtaan” (Magazine-Abbottabad Mansehra) Hindko Ghar (Channel-Kel Neelum) Hindko-I (Channel-Kutton Neelum) Aprin Hindko (Channel-Abbottabad Mansehra) https://www.facebook.com/share/1LmLVjFJJX/

Text domains

General, Agriculture and Food, History, Law and Governmant, Media and Entertainment, Nature and Environment, News and Current Affairs

Processing

There is limited material available of Hinkdo, the corpus of the langauge is mainly created/written on everyday discourse topics such as geography of the area, langauge, culture, education, sports activities, tourism potential of the area etc. This way, we able to have a more natural form of data/corpus of the language. Language advocates form Abbottabad, Mansehra, Muzaffarabad, Neelum & Jehlum districts are also consulted for validation and their input about Hindko corpus. Social media channels like "Aprin Hinkdo" are also visited to see what is presented about Hinkdo langauge so that most of the aspects of the Hinkdo sould be included in the corpus.

Recommended post-processing

The dataset would be beneficial for the researchers. Thy could use this data further for signal processing, natural language processing and for speech recognition of Hindko language.

Community links

Hindko Language & Cultural Society" (HLCS) website https://www.hindko.org/en/welcome آپنڑی ہندکو (Channel) (Abbottabad) https://www.facebook.com/share/1LmLVjFJJX/

Discussions

https://www.facebook.com/share/1LmLVjFJJX/

Contribute

Follow this link to join my WhatsApp community: https://chat.whatsapp.com/Fml5D7YC2y9BgByXWofLyM

Datasheet authors

Muhammad Ilyas muhammadilyas316@gmail.com muhammad.ilyas@ajku.edu.pk

Funding

Yes Mozilla foundation has provided funding for the said dataset. The efforts of Mesum Alam are acknowledged in this regard because he has managed this project very well. This helped all the contributers to create and update dataset for their ancetral/indegenous laguage.

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.