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License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 200.85 MB
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A collection of spontaneous spoken phrases in Gheg Albanian.
Forbidden Usage
It is forbidden to attempt to determine the identity of speakers in the common Voice datasets. It is forbidden to re-host or re-share this dataset
Intended Use
This dataset is intended to be used for training and evaluating automatic speech recognition (ASR) models. It may also be used for applications relating to computer-aided language learning (CALL) and language or heritage revitalisation.
aln)This datasheet is for version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Gheg Albanian (aln). The dataset contains 1654 clips representing 11 hours of recorded
speech (11 hours validated) from 14 speakers.
Gheg Albanian (/ɡɛɡ/) is an Albanian dialect group spoken in northern and central Albania, Kosovo, northwestern North Macedonia, southeastern Montenegro, southern Serbia and southwestern Croatia. Identified by the ISO 639-3 code aln, it belongs to the Indo-European language family. There are estimated to be around four million speakers. There is no widely accepted writing system.
| Split | Count |
|---|---|
| Train | 926 |
| Test | 327 |
| Dev | 263 |
Prompts: 144
Duration: 10:51:51 [h:m:s]
Avg. Transcription Len: 216
Avg. Duration: 23.65[s]
Valid Duration: 37793.736[s]
Total hours: 10.86[h]
Valid hours: 10.5[h]
The transcription of the entire dataset was done by a single individual, using the following guidelines:
In general, the standard Albanian writing system was used, with the following exceptions:
<Ε> was used in place of standard Albanian <ë> /ǝ/
<C> was used in place of standard Albanian <ç> /tš/
<gh> was used to represent /γ/
<hj> was used to represent /ç/
There follows a randomly selected sample of questions used in the corpus.
Pse menon se qielli asht blu?
Masi ke ba familje ça ke ba?
Çar lloj sporti t’ pëlqen me ndjek?
Cila asht shpresa jote ma e madhe për të arthmen?
Pse hikin njerzit nga ktu dhe shkojn diku tjetër?
There follows a randomly selected sample of transcribed responses from the corpus.
Qielli blu nul mw pwlqen, vetwm ko koha vrant asht pak qef, asht pak i zi, shishto mana mir, qielli blu, shishto....
Po kur ban robi familjen, krijon zoti familjen, Ca me ba, merret e rrit fmin, ... fmijn Ca me ba tjetwr, na njerzit e thjesht s kena Ca me ba tjetwr...
I ndjek tana, me futboll, me volejboll, tana, po ma t bukra m pwlqejn kto, gjimnastikat e kto gjanat kshtu qi jan, jan me spektakwl.
Cila wsht shpresa jote mw e madhe pwr tw ardhmen? Shpresa ime pwr tw ardhmen Ca t bij i madhi zot, Ca ta bie zoti un e pres, dgjo mu, po ta dha zoti, zoti e di riskun e tana gjanat zoti i di, pwr Cdo gja.
pwr njiii jet ma t mir, pse kto jan, a bo jeta zor, mana. Pwr ikonomin, edhe shto... pse a zor... kto.
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id - hashed UUID of a given user
audio_id - numeric id for audio file
audio_file - audio file name
duration_ms - duration of audio in milliseconds
prompt_id - numeric id for prompt
prompt - question for user
transcription - transcription of the audio response
votes - number of people that who approved a given transcript
age - age of the speaker1
gender - gender of the speaker1
language - language name
split - for data modelling, which subset of the data does this clip pertain to
char_per_sec - how many characters of transcription per second of audio
quality_tags - some automated assessment of the transcription--audio pair, separated by |
transcription-length - character per second under 3 characters per second
speech-rate - characters per second over 30 characters per second
short-audio - audio length under 2 seconds
long-audio - audio length over 30 seconds
Antonios Dimakis <a.dimakis@athenarc.gr>
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
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.
For a full list of age, gender, and accent options, see the demographics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2