How does Malagasy Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology processes and analyzes audio inputs to detect spoken words and convert them into text.
- Natural Language Processing (NLP). NLP techniques are used to understand the context and structure of the Malagasy language, ensuring accurate text generation.
- Machine Learning. Machine learning algorithms improve the accuracy of speech recognition by continuously learning from new data inputs.
- Phonetic Analysis. Phonetic analysis breaks down spoken words into phonemes to identify and transcribe them accurately into text.
