Blog

How algorithms predict punctuation in transcription, where they fail, and how to efficiently correct the result — a practical guide.

What WER measures, why 95% accuracy claims don't apply to your recording, and how to evaluate transcription quality in practice.

How to improve transcription of names, acronyms and domain terms: a practical guide to building and maintaining a custom terminology list.

How transcription differs for lectures, interviews, meetings, and podcasts: demands, typical problems, and recommendations for each recording type.

How speaker diarization recognizes who is speaking: the technical principle, conditions for reliability, and how to work with results.

Filler words in transcription: how they arise, when to remove them and when to keep them. A journalist's, researcher's, and corporate perspective.

Why automatic speech recognition struggles with Czech where it excels at English: morphology, diacritics, word order and training data. What actually helps.

How speech-to-text works under the hood: from audio digitization and spectral analysis to neural networks and their limits for non-English languages.