Finnish Parliament ASR corpus - Analysis, benchmarks and statistics

Understand

Public sources like parliament meeting recordings and transcripts provide ever-growing material for the training and evaluation of automatic speech recognition (ASR) systems.

• In this paper, we publish and analyse the Finnish parliament ASR corpus, the largest publicly available collection of manually transcribed speech data for Finnish with over 3000 hours of speech and 449 speakers for which it provides rich demographic metadata.
• This corpus builds on earlier initial work, and as a result the corpus has a natural split into two training subsets from two periods of time.
• Similarly, there are two official, corrected test sets covering different times, setting an ASR task with longitudinal distribution-shift characteristics.