Common Voice Spontaneous Speech 2.0 - Arvanitika

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 12/5/2025

Format: MP3

Size: 46.68 MB


Description

A collection of spontaneous spoken phrases in Arvanitika.

Considerations

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

Processes

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.

Metadata

Arvanitika — Arvanitika (aat)

This datasheet is for version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset for Arvanitika (aat). The dataset contains 334 clips representing 3 hours of recorded speech (0 hours validated) from 5 speakers.

Language

Arvanitika (/ˌɑːrvəˈnɪtɪkə/; Arvanitika: αρbε̰ρίσ̈τ, romanized: arbërisht; Greek: αρβανίτικα, romanized: arvanítika), also known as Arvanitic, is the variety of Albanian traditionally spoken by the Arvanites, a population group in Greece. Arvanitika was brought to Southern Greece during the late Middle Ages by Albanian settlers who moved south from their homeland in present-day Albania in several waves. The dialect preserves elements of medieval Albanian, while also being significantly influenced by the Greek language. Arvanitika is today endangered, as its speakers have been shifting to the use of Greek and most younger members of the community no longer speak it.

Transcriptions

  • Prompts: 111

  • Duration: 2:18:10 [h:m:s]

  • Avg. Transcription Len: 161

  • Avg. Duration: 24.82[s]

  • Valid Duration: 0.0[s]

  • Total hours: 2.3[h]

  • Valid hours: 0.0[h]

Writing system

Following the writing rules of modern Albanian, while keeping the Greek alphabet for sounds not existing in Albanian.

In cases of code-switching, write the Greek portion using Greek letters, even for isolated Greek words.

  • Use the capital letter E to represent the Albanian letter ë [ǝ].

  • Use the capital letter C to represent the Albanian letter ç [tš].

  • For γ before α and ο, retain γ or alternatively write gh.

  • For χ before ε and ι, retain χ or alternatively write hj

Samples

Questions

There follows a randomly selected sample of questions used in the corpus.

Ja nonjë vend që pëlqen shum?
Çë të nxur prind(t)?
Çë këngë të pëlqen më shum?
Pse je perifάn?
Vapa të pëlqen i të ftohët?
Responses

There follows a randomly selected sample of transcribed responses from the corpus.

Cw mw pwlqen mw shum kwtu? Mw pwlqen Livadhea. Atje ishtw, ish shum bukur, kejn ujra boliko atje, ish shum mir atje, mw pwlqen, vejm nw ver ndonjwher atje , po nuku keshwm aftoqinito edhe vejm me mullar.
mwma edhe tati, tata na mbledhwn ndw mal edhe bwjmw dhiafora punw.
kwnga qw mw pwlqen mw shum, qw ishtw, ishtw kjo qw thoshwm  twngwzw, moj twngwzw,  do tw vw njw kwmbwzw, do tw bw njw nus' e re, do tw vishwm me podhe, moj... 
qw shoh djeltw edhe niprtw qw ven mirw edhe jan mirw... μ' αρέσει...
eorti, mw pwlqenw ikosti pempti martiu qw vemw edhe blidhen tir kozmi, edhe shoh, shoh tuti mikwtw edhe edhe djemt qw, edhe djemt

Fields

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

Get involved!

Community links

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Acknowledgements

Datasheet authors

Funding

This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.

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.

Footnotes

  1. 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