How does Hawaiian Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology converts spoken language into text by analyzing audio signals and patterns, allowing for real-time transcription.
- Natural Language Processing (NLP). NLP is used to understand and generate human language, improving the accuracy and context of the transcriptions for Hawaiian speakers.
- Machine Learning Algorithms. These algorithms are trained on Hawaiian language datasets to enhance the system's ability to understand various accents and dialects.
- User Feedback Loop. Implementing user feedback helps refine and improve the speech recognition accuracy over time, adapting to specific user needs.