Szóhibaarány

Szóhibaarány is a Hungarian term that translates to "word error rate" in English. It is a metric used in speech recognition and natural language processing to evaluate the performance of systems that transcribe spoken language into text. The szóhibaarány quantifies the number of errors made by the system relative to the total number of words in the reference transcript.

The calculation of szóhibaarány involves comparing a hypothesized word sequence generated by the speech recognition system with a ground truth or reference word sequence. Three types of errors are typically considered: substitutions (where one word is incorrectly recognized as another), deletions (where a word is missed entirely by the system), and insertions (where the system adds a word that was not present in the original speech). The szóhibaarány is calculated as the sum of these errors divided by the total number of words in the reference transcript. A lower szóhibaarány indicates better performance, signifying that the speech recognition system is more accurate in transcribing speech. This metric is crucial for developers and researchers to assess the effectiveness of their algorithms and identify areas for improvement.