Common Voice Spontaneous Speech 3.0 - German
License:
CC0-1.0
Steward:
Common VoiceTask: 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
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
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 35 | 15.3% |
| Transcribed & Pending | 5 | 2.2% |
| Not transcribed | 189 | 82.5% |
Training splits
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 229 | 100.0% |
Training split coverage: 0 of 35 transcribed & validated clips (0.0%)
Transcriptions
Transcription status
| Bucket | Clips | % |
|---|---|---|
| Validated | 35 | 87.5% |
| Pending | 5 | 12.5% |
| Edited | 12 | 30.0% |
Samples
Questions
There follows a randomly selected sample of questions used in the corpus.
Verlieren Sie Regenschirme oder kommt das nicht vor?
Welche Art von Essen magst du am meisten und warum?
Was findest du, denkt die Gesellschaft über den Klimawandel?
Welche Art von Musik würdest du gerne einmal live sehen und warum?
Was ist dein Lieblingsfilm und warum?
Responses
There follows a randomly selected sample of transcribed responses from the corpus.
In meiner Wohnung stehen die Bücher im Wohnzimmer und im Arbeitszimmer. Auch in der Küche finden sich die Kochbücher.
Ich mag am liebsten den Herbst, weil es schön bunt ist und weil es viel zu essen gibt
Welche Farbe magst du am meisten und warum?
Welche Fähigkeiten sind deiner Meinung nach am wichtigsten für den beruflichen Erfolg?
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 useraudio_id- numeric id for audio fileaudio_file- audio file nameduration_ms- duration of audio in millisecondsprompt_id- numeric id for promptprompt- question for usertranscription- transcription of the audio responsevotes- number of people that who approved a given transcriptage- age of the speaker1gender- gender of the speaker1language- language namesplit- for data modelling, which subset of the data does this clip pertain tochar_per_sec- how many characters of transcription per second of audioquality_tags- some automated assessment of the transcription--audio pair, separated by|transcription-length- character per second under 3 characters per secondspeech-rate- characters per second over 30 characters per secondshort-audio- audio length under 2 secondslong-audio- audio length over 5 minutes
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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
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