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Good practice Imported

HANS — Estonia's AI Speech-Recognition System for Parliamentary Verbatim Records

Estonia · Tallinn · See the Estonia profile · See the Tallinn profile

Evidence: Descriptive / self-reported Top 24% 73/100 · Ask Evidence Copilot about this practice

Since 2020, Estonia's Riigikogu has used HANS, an AI speech-recognition tool built with Tallinn University of Technology, to auto-transcribe plenary debates — targeting 93–95% accuracy and publishing machine-readable verbatim records within an hour of each sitting.

93–95%
Target transcription accuracy for plenary sittings
~1,500 hours
Training data volume
2 years
Development period
HANS — Estonia's AI Speech-Recognition System for Parliamentary Verbatim Records

Details

Maturity
Established
Promoter
Riigikogu (Parliament of Estonia), with Tallinn University of Technology (TalTech) and Finestmedia
Period
2020–present
Keywords
speech recognition, parliamentary transcription, open data, legislative support

Context

HANS is an AI speech-recognition pipeline introduced by Estonia's Riigikogu in autumn 2020, built by Finestmedia using speech-recognition technology from Tallinn University of Technology and trained on roughly 1,500 hours of recordings and transcripts, to auto-transcribe plenary debates into open, machine-readable verbatim records — with human editors reviewing each draft — aiming to publish within an hour of a sitting ending.

Implementation

Implementation detail (cost, timeline, staffing, conditions for success) is not yet available for this practice.

Commonly funded by

National / regional programmes Digital Europe Programme

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Data sources

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Attachments

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