How does Kurdish Speech To Text work?
- Automatic Speech Recognition (ASR). ASR systems analyze audio signals and convert them into text by recognizing spoken words.
- Natural Language Processing (NLP). NLP techniques enhance the understanding of the context and structure of the Kurdish language, improving transcription accuracy.
- Acoustic Modeling. Acoustic models are trained on diverse datasets to recognize the phonetic elements of spoken Kurdish.
- Language Modeling. Language models predict the probability of word sequences, helping the system understand context and improve transcription quality.