How does Russian Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology analyzes audio signals and converts them into text by recognizing phonemes and words in the spoken language.
- Natural Language Processing (NLP). NLP techniques are used to understand and process the natural language spoken by users, improving the overall accuracy of transcription.
- Machine Learning. Machine Learning models are trained on extensive datasets to enhance the system's ability to recognize various accents, dialects, and intonations in Russian speech.
- Acoustic Modeling. Acoustic Modeling represents the relationship between phonetic units and the audio signals associated with them, enabling accurate transcription from sound to text.
