How does Sundanese Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology captures spoken language and converts it into text, leveraging machine learning models to recognize syllables and words.
- Deep Learning Models. These models improve accuracy by training on vast datasets of spoken Sundanese, allowing them to understand various accents and dialects.
- Natural Language Processing (NLP). NLP techniques are used to ensure that the transcription retains grammatical structure and appropriate context.
- Acoustic Modeling. This process distinguishes different sounds and phonemes in the Sundanese language to enhance recognition accuracy.