How does Azerbaijani Audio Translator work?
- Speech Recognition. This method converts spoken language into written text through the analysis of audio signals and the application of linguistic algorithms.
- Natural Language Processing (NLP). NLP helps the translator understand and interpret the text for accurate translation by analyzing the structure and context of the language.
- Machine Learning. Machine learning algorithms enhance the audio translator's accuracy by learning from large datasets of spoken Azerbaijani and their corresponding text translations.
- Cloud Computing. Cloud computing enables scalable processing power for real-time translation and storage of data, enhancing the accessibility of the audio translator.
