README.md

---
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 with `dokid` (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 with `start`).
* `intressent_id`: Unique id for the speaker within the Riksdag's database (see [person.csv.zip](https://data.riksdagen.se/dataset/person/person.csv.zip) from the Riksdag).
* `speaker`: The speaker's name retrieved via the `intressent_id`. 
* `party`: The speaker's party retrieved via the `intressent_id`.
* `gender`: The speaker's gender retrieved via the `intressent_id`.
* `birth_year`: The speaker's bith year retrieved via the `intressent_id`.
* `electoral_district`: The electoral district which the speaker represents if they are/were a member of parliament (retrieved via the `intressent_id`).
* `speaker_audio_meta`: The speaker's name and title as listed in the Riksdag's oroginal text format metadata (sometimes wrong and mismatched against `intressent_id`).
* `speaker_from_id`: Whether the speaker metadata was retrieved via the `intressent_id` or via the Riksdag's original metadata, for those speeches with a missing `intressent_id`.
* `is_prediction`: We reverted back to the Riksdag's metadata for a small subset of modern speeches (500 out of 117k). A `True` value of `is_prediction` indicates that the speech was predicted by KBLab. A `False` 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.