Datasets:
metadata
language: sv
license: cc-by-4.0
tags:
- audio
- speech-recognition
task_categories:
- automatic-speech-recognition
RixVox
A Swedish speech corpus with 5500 hours of speeches from debates in the Riksdag (the Swedish Parliament). The speeches have been aligned with transcripts from written protocols.
Metadata
Guide for metadata fields:
dokid
: Document id for the debate. This is the same for all speeches in a debate.anforande_nummer
: Speech number within the debate, or within the debate sessions on a particular day. Should create a unique primary key in combination together withdokid
(sometimes there are duplicates, but we removed them from this dataset).start
: The start time of the observation within a speech (in seconds).end
: The end time of the observation within a speech (in seconds).duration
: The duration of the observation (end
subtracted withstart
).intressent_id
: Unique id for the speaker within the Riksdag's database (see person.csv.zip from the Riksdag).speaker
: The speaker's name retrieved via theintressent_id
.party
: The speaker's party retrieved via theintressent_id
.gender
: The speaker's gender retrieved via theintressent_id
.birth_year
: The speaker's bith year retrieved via theintressent_id
.electoral_district
: The electoral district which the speaker represents if they are/were a member of parliament (retrieved via theintressent_id
).speaker_audio_meta
: The speaker's name and title as listed in the Riksdag's oroginal text format metadata (sometimes wrong and mismatched againstintressent_id
).speaker_from_id
: Whether the speaker metadata was retrieved via theintressent_id
or via the Riksdag's original metadata, for those speeches with a missingintressent_id
.is_prediction
: We reverted back to the Riksdag's metadata for a small subset of modern speeches (500 out of 117k). ATrue
value ofis_prediction
indicates that the speech was predicted by KBLab. AFalse
value indicates that we used the Riksdag's original metadata.debatedate
: The date of the debate.bleu_score
: The BLEU score of the automatic speech recognition (ASR) transcript against the Riksdag's written protocol. Calculated on the entirity of the speech that an observation (30s snippet) is extracted from.