How does Welsh Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology converts spoken language into text by analyzing audio signals and matching them with known phonetic patterns.
- Natural Language Processing (NLP). NLP processes the transcribed text to understand the context, grammar, and meaning, ensuring accurate and fluid language output.
- Machine Learning. Machine learning models are trained with large datasets of spoken Welsh to improve recognition accuracy and adapt to various accents and dialects.
- Deep Learning. Utilizing deep learning techniques, the system enhances its ability to recognize complex language patterns and nuances in spoken Welsh.