Common Voice Scripted Speech 24.0 - Alsatian

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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: 21.35 MB


Description

A collection of scripted spoken phrases in Alsatian.

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

Elsassisch — Alsatian (gsw)

This datasheet has been generated automatically, we would love to include more information, if you would like to help out, get in touch!

This datasheet is for version 24.0 of the the Mozilla Common Voice Scripted Speech dataset for Alsatian (gsw). The dataset contains 701 clips representing 1.11 hours of recorded speech (0.36 hours validated) from 24 speakers.

Language

Variants

Accents

Predefined
User defined

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.

GenderPercentage
Undefined51.0%
Female Feminine49.0%

Age

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

Age BandPercentage
Undefined17.0%
Twenties1.0%
Fifties20.0%
Sixties52.0%
Seventies10.0%
Eighties1.0%

Text corpus

Writing system

Symbol table

Sample

There follows a randomly selected sample of five sentences from the corpus.

Sources

Text domains

DomainCount
Service Retail5
General27
Media Entertainment674

Processing

Recommended post-processing

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Community links

Discussions

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Acknowledgements

Datasheet authors

Citation guidelines

Funding

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.