How does Armenian Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology analyzes audio signals and converts them into a textual format by identifying words and phrases in the spoken language.
- Deep Learning Models. Deep learning models are employed to improve accuracy in recognizing spoken Armenian through extensive training on voice data and linguistic patterns.
- Natural Language Processing (NLP). NLP techniques are applied to understand context and semantics of the spoken words, enhancing the quality of transcriptions.
- Grammar and Syntax Analysis. This involves evaluating the structure of sentences to ensure that the written text reflects proper grammar and syntax rules of the Armenian language.
