Presentation given October 17, 2022 at Nationella språkbankens höstworkshop in Uppsala.

1. Speech recognition for Riksdag
open data

2. Challenges: Partial transcripts
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• Summaries
• OCR errors
• Missing fillers/repetitions
• Divergences from the filed speech

3. Solutions: Partial transcripts
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• Summaries
– Intersection of output from two ASR systems
– News reports for language models
• OCR errors
– Compare ASR and OCR
– ‘r’ + ‘n’ may look like ‘m’, but do not sound like ‘m’
• Missing fillers/repetitions
– Transducer-based language models
• Divergences from the filed speech
– BERT-style language models can supply synonyms

4. Opportunities: Language change
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• ~70 years of recordings
• Ideal for identifying phonetic changes over time

5. Opportunities: Affected speech
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• Rhetorical use of affectations
• “Emotional” speech
• CONS: requires annotation