How does Croatian Speech To Text work?
- Automatic Speech Recognition (ASR). ASR converts audio signals into text by recognizing spoken language patterns using statistical and machine learning techniques.
- Natural Language Processing (NLP). NLP processes and analyzes the transcribed text to enhance understanding and context, improving the overall accuracy of the output.
- Phonetic Analysis. This method involves breaking down speech into its phonetic components, allowing the system to accurately capture sounds and transcribe them into text.
- Language Modeling. Language models predict the likelihood of a sequence of words, helping to improve transcription accuracy by contextualizing spoken words within the language structure.