How does Sinhala Audio Translator work?
- Speech Recognition. This technique converts spoken words into text using algorithms that analyze audio signals and identify phonetic components.
- Natural Language Processing (NLP). NLP involves understanding and interpreting human language, allowing the translator to process and translate the Sinhala text accurately.
- Machine Learning. Machine learning algorithms improve the accuracy of translations by learning from large datasets of audio and corresponding text.
- Translation Algorithms. These algorithms facilitate the conversion of Sinhala text into other languages, ensuring context and meaning are preserved during the process.