How does Serbian Audio Translator work?
- Speech Recognition. This method involves analyzing audio inputs and converting spoken words into text. It utilizes algorithms to recognize phonemes and words accurately.
- Natural Language Processing (NLP). NLP is used to understand and interpret the meaning behind the transcribed text, ensuring that the context is preserved and conveyed correctly.
- Machine Learning. Machine learning algorithms improve the system's accuracy over time by analyzing large datasets of Serbian speech and written text, adapting to various accents and dialects.
- Text-to-Speech. This method can not only translate the audio into text but also convert texts back to speech in Serbian, enabling dual-functionality for the users.