How does Estonian Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology processes audio signals and converts them into text by analyzing phonetic and linguistic features.
- Deep Learning Models. These models enhance the accuracy of speech recognition by training on large datasets, allowing the system to learn the nuances of the Estonian language.
- Natural Language Processing (NLP). NLP techniques are used to understand the context of the spoken words and improve text coherence and relevance.
- Acoustic Modeling. This method involves creating representations of the relationship between phonemes and audio signals to improve transcription accuracy.
