Common Voice Spontaneous Speech 3.0 - German

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/20/2026

Format: MP3

Size: 23.28 MB


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Description

A collection of spontaneous responses to questions in German (Deutsch).

Specifics

Licensing

Creative Commons Zero v1.0 Universal (CC0-1.0)

https://spdx.org/licenses/CC0-1.0.html

Considerations

Restrictions/Special Constraints

None provided.

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

Deutsch — German (de)

This datasheet is for sps-corpus-3.0-2026-03-09 of the Mozilla Common Voice Spontaneous Speech dataset for German [Deutsch - de]. The dataset contains 229 clips representing 1.24 hours of recorded speech (0.09 hours validated) from 23 speakers.

Data splits for modelling

The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.

Audio clips

BucketClips%
Transcribed & Validated3515.3%
Transcribed & Pending52.2%
Not transcribed18982.5%

Training splits

BucketClips%
Train00.0%
Dev00.0%
Test00.0%
Unassigned229100.0%

Training split coverage: 0 of 35 transcribed & validated clips (0.0%)

Transcriptions

Transcription status

BucketClips%
Validated3587.5%
Pending512.5%
Edited1230.0%

Samples

Questions

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

  1. Verlieren Sie Regenschirme oder kommt das nicht vor?

  2. Welche Art von Essen magst du am meisten und warum?

  3. Was findest du, denkt die Gesellschaft über den Klimawandel?

  4. Welche Art von Musik würdest du gerne einmal live sehen und warum?

  5. Was ist dein Lieblingsfilm und warum?

Responses

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

  1. In meiner Wohnung stehen die Bücher im Wohnzimmer und im Arbeitszimmer. Auch in der Küche finden sich die Kochbücher.

  2. Ich mag am liebsten den Herbst, weil es schön bunt ist und weil es viel zu essen gibt

  3. Welche Farbe magst du am meisten und warum?

  4. Welche Fähigkeiten sind deiner Meinung nach am wichtigsten für den beruflichen Erfolg?

  5. Welche Art von Sport würdest du gerne einmal ausprobieren? Warum?

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 5 minutes

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Community links

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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