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Task: ASR
Release Date: 3/24/2026
Format: MP3
Size: 34.69 GB
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A collection of read speech recordings in German (Deutsch).
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.
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.
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.
| Code | Accent | Clips | Speakers |
|---|---|---|---|
| germany | Deutschland Deutsch | 627,340 (61.7%) | 4,696 (22.9%) |
| austria | Österreichisches Deutsch | 26,654 (2.6%) | 417 (2.0%) |
| switzerland | Schweizerdeutsch | 18,414 (1.8%) | 202 (1.0%) |
| france | Französisch Deutsch | 1,624 (0.2%) | 27 (0.1%) |
| italy | Italienisch Deutsch | 1,128 (0.1%) | 9 (0.0%) |
| russia | Russisch Deutsch | 1,080 (0.1%) | 24 (0.1%) |
| belgium | Belgisches Deutsch | 967 (0.1%) | 7 (0.0%) |
| united_states | Amerikanisches Deutsch | 615 (0.1%) | 31 (0.2%) |
| united_kingdom | Britisches Deutsch | 278 (0.0%) | 18 (0.1%) |
| hungary | Ungarisch Deutsch | 278 (0.0%) | 8 (0.0%) |
| poland | Polnisch Deutsch | 170 (0.0%) | 14 (0.1%) |
| greece | Griechisch Deutsch | 140 (0.0%) | 3 (0.0%) |
| canada | Kanadisches Deutsch | 129 (0.0%) | 4 (0.0%) |
| netherlands | Niederländisch Deutsch | 99 (0.0%) | 13 (0.1%) |
| liechtenstein | liechtensteinisches Deutscher | 92 (0.0%) | 4 (0.0%) |
| slovakia | Slowakisch Deutsch | 76 (0.0%) | 4 (0.0%) |
| luxembourg | Luxemburgisches Deutsch | 65 (0.0%) | 5 (0.0%) |
| czechia | Tschechisch Deutsch | 62 (0.0%) | 7 (0.0%) |
| brazil | Brasilianisches Deutsch | 60 (0.0%) | 2 (0.0%) |
| turkey | Türkisch Deutsch | 55 (0.0%) | 5 (0.0%) |
| finland | Finnisch Deutsch | 35 (0.0%) | 1 (0.0%) |
| slovenia | Slowenisch Deutsch | 10 (0.0%) | 1 (0.0%) |
| lithuania | Litauisch Deutsch | 5 (0.0%) | 1 (0.0%) |
| bulgaria | Bulgarisch Deutsch | 5 (0.0%) | 1 (0.0%) |
| romania | Rumänisch Deutsch | 5 (0.0%) | 1 (0.0%) |
| paraguay | Paraguayisch Deutsch | 5 (0.0%) | 1 (0.0%) |
| namibia | Namibisch Deutsch | 1 (0.0%) | 1 (0.0%) |
| denmark | Dänisch Deutsch | 1 (0.0%) | 1 (0.0%) |
| - | Other | 145,303 (14.3%) | 196 (1.0%) |
The dataset includes the following self-declared age and gender distributions. A coverage summary is shown below each table.
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.
| Code | Gender | Clips | Speakers |
|---|---|---|---|
| male_masculine | Male, masculine | 588,070 (57.9%) | 4,226 (20.6%) |
| female_feminine | Female, feminine | 83,135 (8.2%) | 781 (3.8%) |
| transgender | Transgender | 55 (0.0%) | 3 (0.0%) |
| non-binary | Non-binary | 85 (0.0%) | 3 (0.0%) |
| do_not_wish_to_say | Prefer not to say | 15 (0.0%) | 1 (0.0%) |
| - | Unspecified | 344,591 (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%)
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.
| Code | Age | Clips | Speakers |
|---|---|---|---|
| teens | Teens | 29,395 (2.9%) | 540 (2.6%) |
| twenties | Twenties | 176,764 (17.4%) | 1,744 (8.5%) |
| thirties | Thirties | 163,230 (16.1%) | 1,205 (5.9%) |
| fourties | Fourties | 173,410 (17.1%) | 778 (3.8%) |
| fifties | Fifties | 111,423 (11.0%) | 604 (3.0%) |
| sixties | Sixties | 23,875 (2.4%) | 241 (1.2%) |
| seventies | Seventies | 2,279 (0.2%) | 85 (0.4%) |
| eighties | Eighties | 60 (0.0%) | 6 (0.0%) |
| nineties | Nineties | 55 (0.0%) | 1 (0.0%) |
| - | Unspecified | 335,460 (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%)
Clip buckets
| Bucket | Clips |
|---|---|
| Validated | 949,698 (93.5%) |
| Invalidated | 58,471 (5.8%) |
| Other | 7,782 (0.8%) |
Training splits
| Split | Clips |
|---|---|
| Train | 621,144 (65.4%) |
| Dev | 16,206 (1.7%) |
| Test | 16,206 (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.
Validated sentences: 2,058,021
| Category | Count |
|---|---|
| Unvalidated sentences | 1,623 |
| Pending sentences | 1,299 |
| Rejected sentences | 324 |
| Reported sentences | 11,409 |
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.
There follows a randomly selected sample of five sentences from the corpus.
Diese basiert auf einer von dem Hersteller oder den Herstellern des Produktes durchgeführten Konformitätsbewertung.
Mannschaft aktiv.
Ich denke, wir haben die Möglichkeit, etwas Positives zu tun.
Auch diesmal gelang ihm mit Koper allerdings der direkte Wiederaufstieg ins Oberhaus.
Im Alter von elf Jahren entwarf er seinen ersten Schuh.
| Source | Sentences |
|---|---|
| wiki | 1,551,733 (75.4%) |
| europarl-v7-de | 390,179 (19.0%) |
| https://de.wikipedia.org | 43,238 (2.1%) |
| sentence-collector | 39,599 (1.9%) |
| covost2-en_de | 20,717 (1.0%) |
| Other | 12,241 (0.6%) |
| Code | Domain | Clips | Speakers |
|---|---|---|---|
| general | General | 143 (0.0%) | 53 (0.3%) |
| agriculture_food | Agriculture and Food | - | - |
| automotive_transport | Automotive and Transport | 6 (0.0%) | 3 (0.0%) |
| finance | Finance | - | - |
| service_retail | Service and Retail | 12 (0.0%) | 8 (0.0%) |
| healthcare | Healthcare | 16 (0.0%) | 11 (0.1%) |
| history_law_government | History, Law and Government | 14 (0.0%) | 12 (0.1%) |
| media_entertainment | Media and Entertainment | 1 (0.0%) | 1 (0.0%) |
| nature_environment | Nature and Environment | 12 (0.0%) | 8 (0.0%) |
| news_current_affairs | News and Current Affairs | 4 (0.0%) | 3 (0.0%) |
| technology_robotics | Technology and Robotics | 9 (0.0%) | 7 (0.0%) |
| language_fundamentals | Language Fundamentals | 3 (0.0%) | 3 (0.0%) |
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.tsvThe 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.tsvThe 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)
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.
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