How does Maltese Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology analyzes audio input and converts it into textual output by recognizing phonetic patterns.
- Machine Learning. Machine learning algorithms are trained on large datasets of Maltese speech to improve accuracy and adapt to various accents.
- Natural Language Processing (NLP). NLP techniques help in understanding the context and semantics of the spoken language, ensuring better text representation.
- Acoustic Modeling. Acoustic modeling involves building models that represent the relationship between linguistic units and audio signals, crucial for accurate speech recognition.
