How does Vietnamese Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology processes incoming audio signals to identify and convert spoken words into text.
- Natural Language Processing (NLP). NLP techniques analyze the text generated by ASR for context, enabling more accurate transcription and understanding of intent.
- Deep Learning Models. Deep learning models enhance speech recognition accuracy by training on large datasets of spoken Vietnamese.
- Acoustic Modeling. Acoustic modeling involves creating statistical representations of the sounds of the language to improve recognition performance.