How does Slovenian Speech To Text work?
- Automatic Speech Recognition (ASR). ASR uses machine learning models to recognize and transcribe spoken language into text by analyzing sound waves.
- Deep Learning. Deep learning enhances the ability of ASR systems to understand various accents and speech patterns by employing neural networks.
- Natural Language Processing (NLP). NLP is used to make sense of the transcribed text, helping in understanding context, sentiment, and grammar.
- Acoustic Modeling. Acoustic modeling creates a statistical representation of the relationship between audio signals and their corresponding phonemes in Slovenian.
