How does Malayalam Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology captures audio signals of spoken Malayalam and uses machine learning models to convert them into text.
- Natural Language Processing (NLP). NLP techniques are employed to understand context, grammar, and semantics of the spoken language, enhancing transcription accuracy.
- Acoustic Modeling. This method involves creating statistical representations of the phonetics of the Malayalam language to improve recognition of various accents and dialects.
- Language Modeling. Language models predict and improve the sequence of words in the transcription process, contributing to more fluent and coherent outputs.