Common Voice Scripted Speech 25.0 - German

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/24/2026

Format: MP3

Size: 34.69 GB


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Description

A collection of read speech recordings 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 cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for German [Deutsch - de]. The dataset contains 1015951 clips representing 1485.74 hours of recorded speech (1388.85 hours validated) from 20466 speakers, recorded from a text corpus of 2,059,644 sentences.

Language

Accents

CodeAccentClipsSpeakers
germanyDeutschland Deutsch627,340 (61.7%)4,696 (22.9%)
austriaÖsterreichisches Deutsch26,654 (2.6%)417 (2.0%)
switzerlandSchweizerdeutsch18,414 (1.8%)202 (1.0%)
franceFranzösisch Deutsch1,624 (0.2%)27 (0.1%)
italyItalienisch Deutsch1,128 (0.1%)9 (0.0%)
russiaRussisch Deutsch1,080 (0.1%)24 (0.1%)
belgiumBelgisches Deutsch967 (0.1%)7 (0.0%)
united_statesAmerikanisches Deutsch615 (0.1%)31 (0.2%)
united_kingdomBritisches Deutsch278 (0.0%)18 (0.1%)
hungaryUngarisch Deutsch278 (0.0%)8 (0.0%)
polandPolnisch Deutsch170 (0.0%)14 (0.1%)
greeceGriechisch Deutsch140 (0.0%)3 (0.0%)
canadaKanadisches Deutsch129 (0.0%)4 (0.0%)
netherlandsNiederländisch Deutsch99 (0.0%)13 (0.1%)
liechtensteinliechtensteinisches Deutscher92 (0.0%)4 (0.0%)
slovakiaSlowakisch Deutsch76 (0.0%)4 (0.0%)
luxembourgLuxemburgisches Deutsch65 (0.0%)5 (0.0%)
czechiaTschechisch Deutsch62 (0.0%)7 (0.0%)
brazilBrasilianisches Deutsch60 (0.0%)2 (0.0%)
turkeyTürkisch Deutsch55 (0.0%)5 (0.0%)
finlandFinnisch Deutsch35 (0.0%)1 (0.0%)
sloveniaSlowenisch Deutsch10 (0.0%)1 (0.0%)
lithuaniaLitauisch Deutsch5 (0.0%)1 (0.0%)
bulgariaBulgarisch Deutsch5 (0.0%)1 (0.0%)
romaniaRumänisch Deutsch5 (0.0%)1 (0.0%)
paraguayParaguayisch Deutsch5 (0.0%)1 (0.0%)
namibiaNamibisch Deutsch1 (0.0%)1 (0.0%)
denmarkDänisch Deutsch1 (0.0%)1 (0.0%)
-Other145,303 (14.3%)196 (1.0%)

Demographic information

The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.

Gender

Self-declared gender information. The table shows clip and speaker counts with percentages. Speakers who did not declare a gender are listed as Unspecified. A dash (-) indicates zero.

CodeGenderClipsSpeakers
male_masculineMale, masculine588,070 (57.9%)4,226 (20.6%)
female_feminineFemale, feminine83,135 (8.2%)781 (3.8%)
transgenderTransgender55 (0.0%)3 (0.0%)
non-binaryNon-binary85 (0.0%)3 (0.0%)
do_not_wish_to_sayPrefer not to say15 (0.0%)1 (0.0%)
-Unspecified344,591 (33.9%)16,067 (78.5%)

Gender declared: 671,360 of 1,015,951 clips (66.1%), 4,399 of 20,466 speakers (21.5%)

Age

Self-declared age information. The table shows clip and speaker counts with percentages. Speakers who did not declare an age are listed as Unspecified. A dash (-) indicates zero.

CodeAgeClipsSpeakers
teensTeens29,395 (2.9%)540 (2.6%)
twentiesTwenties176,764 (17.4%)1,744 (8.5%)
thirtiesThirties163,230 (16.1%)1,205 (5.9%)
fourtiesFourties173,410 (17.1%)778 (3.8%)
fiftiesFifties111,423 (11.0%)604 (3.0%)
sixtiesSixties23,875 (2.4%)241 (1.2%)
seventiesSeventies2,279 (0.2%)85 (0.4%)
eightiesEighties60 (0.0%)6 (0.0%)
ninetiesNineties55 (0.0%)1 (0.0%)
-Unspecified335,460 (33.0%)15,930 (77.8%)

Age declared: 680,491 of 1,015,951 clips (67.0%), 4,536 of 20,466 speakers (22.2%)

Data splits for modelling

Clip buckets

BucketClips
Validated949,698 (93.5%)
Invalidated58,471 (5.8%)
Other7,782 (0.8%)

Training splits

SplitClips
Train621,144 (65.4%)
Dev16,206 (1.7%)
Test16,206 (1.7%)

Training split coverage: 653,556 of 949,698 validated clips (68.8%)

The dataset contains 949698 validated, 58471 invalidated, and 7782 unresolved clips. The average clip duration is 5.265 seconds.

Text corpus

Validated sentences: 2,058,021

CategoryCount
Unvalidated sentences1,623
Pending sentences1,299
Rejected sentences324
Reported sentences11,409

The corpus contains 2,059,644 sentences: 2,058,021 validated and 1,623 unvalidated (1,299 pending review, 324 rejected), with 11,409 reported for review.

Sample

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

  1. Diese basiert auf einer von dem Hersteller oder den Herstellern des Produktes durchgeführten Konformitätsbewertung.

  2. Mannschaft aktiv.

  3. Ich denke, wir haben die Möglichkeit, etwas Positives zu tun.

  4. Auch diesmal gelang ihm mit Koper allerdings der direkte Wiederaufstieg ins Oberhaus.

  5. Im Alter von elf Jahren entwarf er seinen ersten Schuh.

Sources

SourceSentences
wiki1,551,733 (75.4%)
europarl-v7-de390,179 (19.0%)
https://de.wikipedia.org43,238 (2.1%)
sentence-collector39,599 (1.9%)
covost2-en_de20,717 (1.0%)
Other12,241 (0.6%)

Text domains

CodeDomainClipsSpeakers
generalGeneral143 (0.0%)53 (0.3%)
agriculture_foodAgriculture and Food--
automotive_transportAutomotive and Transport6 (0.0%)3 (0.0%)
financeFinance--
service_retailService and Retail12 (0.0%)8 (0.0%)
healthcareHealthcare16 (0.0%)11 (0.1%)
history_law_governmentHistory, Law and Government14 (0.0%)12 (0.1%)
media_entertainmentMedia and Entertainment1 (0.0%)1 (0.0%)
nature_environmentNature and Environment12 (0.0%)8 (0.0%)
news_current_affairsNews and Current Affairs4 (0.0%)3 (0.0%)
technology_roboticsTechnology and Robotics9 (0.0%)7 (0.0%)
language_fundamentalsLanguage Fundamentals3 (0.0%)3 (0.0%)

Fields

Clips

Each row of a tsv file represents a single audio clip, and contains the following information:

  • client_id - hashed UUID of a given user

  • path - relative path of the audio file

  • text - supposed transcription of the audio

  • up_votes - number of people who said audio matches the text

  • down_votes - number of people who said audio does not match text

  • age - age of the speaker1

  • gender - gender of the speaker1

  • accents - accents of the speaker1

  • variant - variant of the language1

  • segment - if sentence belongs to a custom dataset segment, it will be listed here

  • prompt_upvotes - number of upvotes the sentence prompt received

  • prompt_reports - number of reports the sentence prompt received

  • is_edited - whether the clip's transcription has been edited

validated_sentences.tsv

The validated_sentences.tsv file contains one row per validated sentence in the text corpus:

  • sentence_id - unique identifier for the sentence

  • sentence - the sentence text

  • variant - the variant of the language

  • sentence_domain - the domain(s) the sentence belongs to

  • source - the source the sentence was collected from

  • is_used - whether the sentence is still in circulation for recording

  • clips_count - number of clips recorded for this sentence

unvalidated_sentences.tsv

The unvalidated_sentences.tsv file contains one row per unvalidated sentence in the text corpus:

  • sentence_id - unique identifier for the sentence

  • sentence - the sentence text

  • variant - the variant of the language

  • sentence_domain - the domain(s) the sentence belongs to

  • source - the source the sentence was collected from

  • up_votes - number of upvotes the sentence received

  • down_votes - number of downvotes the sentence received

  • status - current status of the sentence (pending or rejected)

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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 3 4