How does Macedonian Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology analyzes audio signals of spoken language and converts them into a text format.
- Natural Language Processing (NLP). NLP is used to understand the context and structure of the spoken language, improving accuracy in transcription.
- Machine Learning Algorithms. These algorithms are trained on large datasets to recognize patterns in speech, enhancing transcription performance over time.
- Acoustic Modeling. Acoustic modeling focuses on the statistical representation of sounds in the Macedonian language to improve recognition accuracy.