How does Nepali Speech To Text work?
- Acoustic Modeling. This technique analyzes the audio signals to identify phonetic sounds in the Nepali language.
- Language Modeling. It uses statistical methods to predict the likelihood of sequences of words, ensuring contextual accuracy.
- Feature Extraction. The process of converting audio input into a set of features that a machine learning model can process.
- Decoding. This final step interprets the features and generates the corresponding text output based on learned patterns.