How does Hindi Speech To Text work?
- Automatic Speech Recognition (ASR). ASR systems listen to audio input and use algorithms to recognize and transcribe spoken words into text.
- Phonetic Analysis. This technique analyzes the sound patterns in Hindi and maps them to corresponding text representations based on phonetics.
- Natural Language Processing (NLP). NLP helps to understand context and correct grammatical structures after transcription, enhancing the accuracy of the output.
- Machine Learning Algorithms. These algorithms improve transcription accuracy over time by learning from large datasets of recorded speech and their textual counterparts.
