How does Persian Speech To Text work?
- Automatic Speech Recognition (ASR). ASR converts audio signals into text by analyzing sound waves and recognizing spoken words, using complex algorithms to ensure accuracy in the Persian language.
- Natural Language Processing (NLP). NLP processes the text generated by ASR to understand context and grammar, improving the quality and relevance of the transcription.
- Acoustic Modeling. This method involves training models on various Persian accents and dialects to enhance the system's ability to accurately understand different speaker pronunciations.
- Language Modeling. Language modeling predicts the probability of a sequence of words, helping to refine the transcription by suggesting the most likely text output based on context.