How does Finnish Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology captures spoken language and converts it into text using acoustic models and language models.
- Natural Language Processing (NLP). NLP techniques are used to understand the context and semantics of the spoken words, improving accuracy in transcription.
- Machine Learning. Machine learning algorithms are trained on large datasets of Finnish language to improve recognition rates and reduce errors.
- Phonetic Analysis. This method involves analyzing the phonetic components of Finnish sounds to enhance transcription precision.