Slovak ASR Benchmark

This is the first dedicated Speech-to-Text (STT) benchmark for Slovak: 354 hours of curated audio across 22 models. Existing resources focus on English or multilingual datasets where Slovak is only a few percent of the data. This benchmark fills that gap, comparing models on Slovak data across different domains.

Task: Automatic Speech Recognition
Metric: WER, CER, DSER
Modality: Speech
Updated: June 26, 2026

Metric notes

WER (Word Error Rate): Measures transcription accuracy at the word level. It is the number of word errors (insertions, deletions, and substitutions) divided by the number of words in the reference transcript. Lower is better.
CER (Character Error Rate): Measures transcription accuracy at the character level. It is the number of character errors (insertions, deletions, and substitutions) divided by the number of characters in the reference transcript. More forgiving of small differences like word endings which is useful for a richly inflected language like Slovak. Lower is better.
DSER (Digit Sequence Error Rate): Measures accuracy in transcribing whole number sequences (phone numbers, account numbers, prices). It is the number of incorrectly transcribed digit sequences divided by the number of digit sequences in the reference transcript. A sequence counts as wrong if any digit in it is wrong. Lower is better.

Models are evaluated exclusively on Slovak speech data. Detailed data source distribution below.