How does Myanmar Speech To Text work?
- Automatic Speech Recognition (ASR). ASR analyzes audio signals and translates spoken words into text format, allowing for efficient transcription of conversations.
- Language Modeling. Language modeling uses statistical techniques to predict the likelihood of sequences of words, improving accuracy in speech-to-text translation.
- Deep Learning Algorithms. Deep learning models are trained on vast datasets of spoken Myanmar, enabling the system to understand various accents and speech patterns.
- Acoustic Modeling. Acoustic modeling involves creating representations of the sounds associated with the Myanmar language, which helps the system interpret audio inputs accurately.
