How does Urdu Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology analyzes audio signals and converts them into textual representation through advanced algorithms that recognize phonetics.
- Natural Language Processing (NLP). NLP techniques enhance the transcription accuracy by understanding the context and semantics of the spoken Urdu language.
- Deep Learning Models. Deep learning models are trained on large datasets of Urdu speech to improve the recognition and transcription of spoken words.
- Acoustic and Language Models. Acoustic models recognize the sounds in speech, while language models help in predicting the probable words based on context, improving overall accuracy.
