How does Uzbek Speech To Text work?
- Automatic Speech Recognition (ASR). ASR converts spoken language into text by analyzing audio signals and recognizing phonemes and words.
- Machine Learning Algorithms. Machine learning algorithms improve transcription accuracy by learning patterns from large datasets of spoken language.
- Natural Language Processing (NLP). NLP enhances the understanding of context and semantics in the spoken Uzbek language, enabling better transcription results.
- Deep Learning Techniques. Deep learning models process and recognize speech patterns more effectively, leveraging neural networks for improved performance.