A comprehensive voice dataset for Hindko digit recognition

Hindko is a language primarily spoken in Northwestern areas of Pakistan. Approximately eight million people speak the Hindko language. According to its native speakers, it is 7<sup>th</sup> largest language of Pakistan and 2<sup>nd</sup> largest language of Khyber Pakhtunkhwa. The Hazara region is the cultural hub of Hindko language. About 80% of the population in districts like Haripur, Abbotabad and Mansehra speak Hindko. The spoken content of Hindko covers a wide range of subjects, including religion, education, poetry, politics, theater, and more. Despite all this, Hindko lacks a voice recognition system that could enhance accessibility, preserve the language, and promote digital inclusion for its speakers. This paper presents a voice recognition dataset that consists of 17,597 voice samples, and is accessible to the public for academic and research purposes. The dataset consists of 20 Hindko digits ranging from 1 to 20 and all the voice samples are taken from the students and staff and faculty of Pak-Austria Fachhochschule Institute of Applied Science and Technology.

Authors

Institutions

Publication Details

Journal
Data in Brief
Published
2024-12-10
DOI
https://doi.org/10.1016/j.dib.2024.111220
Citations
2
Primary Topic
Speech Recognition and Synthesis
Type
article
Field-Weighted Citation Impact
0.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A comprehensive voice dataset for Hindko digit recognition

Ikram Syed, Khalil Khan, Maqbool Khan, Syed Sajid Ullah et al.
2 citations
Data in Brief
Speech Recognition and Synthesis
0.69
article

A comprehensive voice dataset for Hindko digit recognition

Ikram Syed, Khalil Khan, Maqbool Khan, Syed Sajid Ullah, Tanveer Ahmed
article en
2 citations

Abstract

Hindko is a language primarily spoken in Northwestern areas of Pakistan. Approximately eight million people speak the Hindko language. According to its native speakers, it is 7<sup>th</sup> largest language of Pakistan and 2<sup>nd</sup> largest language of Khyber Pakhtunkhwa. The Hazara region is the cultural hub of Hindko language. About 80% of the population in districts like Haripur, Abbotabad and Mansehra speak Hindko. The spoken content of Hindko covers a wide range of subjects, including religion, education, poetry, politics, theater, and more. Despite all this, Hindko lacks a voice recognition system that could enhance accessibility, preserve the language, and promote digital inclusion for its speakers. This paper presents a voice recognition dataset that consists of 17,597 voice samples, and is accessible to the public for academic and research purposes. The dataset consists of 20 Hindko digits ranging from 1 to 20 and all the voice samples are taken from the students and staff and faculty of Pak-Austria Fachhochschule Institute of Applied Science and Technology.

Data in BriefVol. 58
University of Agder (NO), Agder Research (NO), Software Competence Center Hagenberg (Austria) (AT), Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology (PK), Nazarbayev University (KZ), Hankuk University of Foreign Studies (KR)
Openalex Percentile: Top 23%
Speech Recognition and Synthesis
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.