Common Voice Scripted Speech 25.0 - Latvian

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License:

CC0-1.0

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Steward:

Common Voice

Task: ASR

Release Date: 3/23/2026

Format: MP3

Size: 5.84 GB


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Description

A collection of read speech recordings in Latvian (Latviešu).

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

Latviešu — Latvian (lv)

This datasheet is for cv-corpus-25.0-2026-03-09 of the Mozilla Common Voice Scripted Speech dataset for Latvian [Latviešu - lv]. The dataset contains 231784 clips representing 309.67 hours of recorded speech (265.39 hours validated) from 6548 speakers, recorded from a text corpus of 99,607 sentences.

Language

Latvian is an Baltic language belonging to the Indo-European language family. It is spoken in the Baltic region, and is the official language of Latvia as well as one of the official languages of the European Union. There are about 1.5 million native Latvian speakers in Latvia and 100,000 abroad. It uses the Latin alphabet with additional diacritical marks to represent specific sounds.

Variants

There are slight stylistic speach variations among different regions of Latvia, but they do not affect mutual intelligibility. Latgale region has more significant differences with main Latvian language. It is sometimes considered a dialect, but Latgalian (ltg) speech is collected as a separate language in Common Voice.

Accents

CodeAccentClipsSpeakers
-55,746 (24.1%)1,182 (18.1%)

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, masculine57,480 (24.8%)366 (5.6%)
female_feminineFemale, feminine69,747 (30.1%)514 (7.8%)
transgenderTransgender--
non-binaryNon-binary114 (0.0%)1 (0.0%)
do_not_wish_to_sayPrefer not to say15 (0.0%)1 (0.0%)
-Unspecified104,428 (45.1%)6,216 (94.9%)

Gender declared: 127,356 of 231,784 clips (54.9%), 332 of 6,548 speakers (5.1%)

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
teensTeens3,081 (1.3%)84 (1.3%)
twentiesTwenties14,567 (6.3%)173 (2.6%)
thirtiesThirties65,735 (28.4%)294 (4.5%)
fourtiesFourties21,662 (9.3%)228 (3.5%)
fiftiesFifties19,177 (8.3%)101 (1.5%)
sixtiesSixties4,396 (1.9%)33 (0.5%)
seventiesSeventies220 (0.1%)6 (0.1%)
eightiesEighties135 (0.1%)2 (0.0%)
ninetiesNineties--
-Unspecified102,811 (44.4%)6,197 (94.6%)

Age declared: 128,973 of 231,784 clips (55.6%), 351 of 6,548 speakers (5.4%)

Data splits for modelling

Clip buckets

BucketClips
Validated198,641 (85.7%)
Invalidated11,635 (5.0%)
Other21,508 (9.3%)

Training splits

SplitClips
Train14,772 (7.4%)
Dev7,825 (3.9%)
Test7,825 (3.9%)

Training split coverage: 30,422 of 198,641 validated clips (15.3%)

The dataset contains 198641 validated, 11635 invalidated, and 21508 unresolved clips. The average clip duration is 4.81 seconds.

Text corpus

Validated sentences: 34,635

CategoryCount
Unvalidated sentences64,972
Pending sentences62,983
Rejected sentences1,989
Reported sentences3,107

The corpus contains 99,607 sentences: 34,635 validated and 64,972 unvalidated (62,983 pending review, 1,989 rejected), with 3,107 reported for review.

Writing system

Latvian alphabet is based on the Latin script and consists of 33 letters, including special characters with diacritical marks such as ā, č, ē, ģ, ī, ķ, ļ, ņ, š, ū, and ž.

Historic texts also used letter /ŗ/, but use of it has been officially discontinued since 1946. This letter is equivalent to letter /r/ in modern Latvian orthography.

Letter /o/ can represent three different sounds [ua̯], [ɔ], [ɔː].

Letter /e/ can represent two different sounds [e], [æ].

Symbol table
a ā b c č d e ē f g ģ h i ī j k ķ l ļ m n ņ o p r s š t u ū v z ž

Sample

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

  1. Taču tas nenozīmē, ka tā mums jāatdod uz mūžīgiem laikiem.

  2. Es gluži tā neteiktu.

  3. Ieviņa īstenībā nav tāda, kā viņa līdz šim gražojās ar vārdiem.

  4. Un vai tādēļ mēs tagad lieksimies citu valstu priekšā?

  5. Mēs jau esam atraduši naudu un mēģinām izveidot programmas struktūru.

Sources

Text sources in the dataset consists of user added content as well as balanced sets of samples from Wikipedia, European parliament transcripts, out of copyright books and other sources.

SourceSentences
https://korpuss.lv/id/PanDi10,134 (29.3%)
sentence-collector8,275 (23.9%)
https://lv.wikipedia.org/3,631 (10.5%)
https://korpuss.lv/id/Saeima2,520 (7.3%)
https://huggingface.co/datasets/open_subtitles2,336 (6.7%)
Autobiogrāfijas2,319 (6.7%)
Pašatsauce1,399 (4.0%)
https://huggingface.co/datasets/europarl_bilingual1,223 (3.5%)
https://huggingface.co/datasets/clips/mqa/viewer/lv-all-question/train619 (1.8%)
Other2,179 (6.3%)

Text domains

CodeDomainClipsSpeakers
generalGeneral750 (0.3%)287 (4.4%)
agriculture_foodAgriculture and Food8 (0.0%)8 (0.1%)
automotive_transportAutomotive and Transport3 (0.0%)3 (0.0%)
financeFinance5 (0.0%)5 (0.1%)
service_retailService and Retail16 (0.0%)15 (0.2%)
healthcareHealthcare36 (0.0%)31 (0.5%)
history_law_governmentHistory, Law and Government9 (0.0%)9 (0.1%)
media_entertainmentMedia and Entertainment17 (0.0%)16 (0.2%)
nature_environmentNature and Environment45 (0.0%)38 (0.6%)
news_current_affairsNews and Current Affairs5 (0.0%)5 (0.1%)
technology_roboticsTechnology and Robotics15 (0.0%)14 (0.2%)
language_fundamentalsLanguage Fundamentals9 (0.0%)9 (0.1%)

Recommended post-processing

  • Filter out clips with /ŗ/

  • Filter out clips with characters not in the Latvian alphabet

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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Community links

Discussions

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Acknowledgements

Datasheet authors

Raivis Dejus

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