Loading datasets...
Release Date: 9/17/2026
Format: MP3
Size: 12.03 MB
A collection of spontaneous responses to questions in Latvian (Latviešu).
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.
lv)This datasheet is for sps-corpus-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Latvian [Latviešu - lv]. The dataset contains 62 clips representing 0.58 hours of recorded speech (0.08 hours validated) from 9 speakers.
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.
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.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 12 | 19.4% |
| Transcribed & Pending | 2 | 3.2% |
| Not transcribed | 48 | 77.4% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 62 | 100.0% |
Training split coverage: 0 of 12 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 12 | 85.7% |
| Pending | 2 | 14.3% |
| Edited | 3 | 21.4% |
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].
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
There follows a randomly selected sample of questions used in the corpus.
Kāda ir jūsu iecienītākā latviešu filma un kāpēc?
Kādas ir jūsu domas par sabiedrisko transportu Latvijā?
Kādas pozitīvas pārmaiņas jūs esat novērojis Latvijas sabiedrībā pēdējo gadu laikā?
Kā jūs raksturotu savus iecienītākos svētkus gadā?
Ko cilvēki Latvijā parasti dara dzimšanas dienās?
There follows a randomly selected sample of transcribed responses from the corpus.
Mani iepriecina un iedvesmo labi cilvēki, kas ir enerģiski un dara kaut ko pozitīvu pasaulei un palīdz attīstīt balsu tehnoloģijas un visādas citādas labas lietas pasaulē.
Katru gadu pirms Jāņiem eju noskatīties "Skroderdienas Silmačos".
Visvairāk es lepojos ar to, ka man ir ģimene, kura mani mīl, ka man ir draugi, ar kuriem es varu pastāvīgi sarunāties - jebkad, par ko. Ir daudzas lietas, par kurām es savā dzīvē lepojos. Es arī lepojos arī par to, ka esmu izaudzis ar pietiekami lielu pacietību, lai, lai sasniegtu savus mērķus.
Mana mīlākā latviešu dziesma ir Opus Pro "Rozā lietus", jo viņa ir emocionāla, viņa ir ļoti dziļa, un viņa ir pilna ar mīlestību. Šī dziesma ļoti aizkustina, tāpēc arī šī ir mana mīļākā dziesma.
Ziemai pa- parasti sagatavojamies ar to, kad nodrošinam, lai mums būtu ar ko kurināt krāsni. Mēs kurinam krāsni ar granulām. Mums ir granulu katls. Un elektrībai ir jābūt. Tā kā to visu nodrošinam. [disfluency] Vēl nodrošinam apģērbu, ziemas riepas obligāti mašīnai vajadzīgas no pirmā novembra, Nodrošinam arī [disfluency] Nodrošinam daudzko, kas ir saistīts ar aukstumu. Vajadzīga ir sniega lāpsta, mašīnas [disfluency] stiklu tas kasītājs. [disfluency] Tā kā, jā, mums ir jāsagatavojas ļoti, jo nekad nevar zināt, vai būs ļoti ilga, balta ziema vai arī pēdējos gadus jau arī ziema ir palikusi tāda [disfluency] īsāka. Tas jau ir patīkamāk, jo tās ilgās, aukstās ziemas tomēr ir diezgan nogurdinoši. Ta kā, jā. Ziemas [disfluency] nav tas pozitīvākais laiks vispār, jo mums viss izskatās kā Purvīša glezna diezgan pelēks un, un nekāds. Tapēc latvieši ļoti gaida sauli, kas ir pavasarī.
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
non-allowed-script - transcription contains characters from a writing system not associated with the language
mixed-script-words - a single word contains characters from multiple writing systems
mixed-script-transcription - transcription spans multiple writing systems, but each word consistently uses only one
Raivis Dejus <[email protected]>
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