How does Hungarian Speech To Text work?
- Acoustic Modeling. This technique involves creating statistical representations of the sounds in the Hungarian language to recognize speech patterns.
- Language Modeling. Language modeling predicts the likelihood of sequences of words, aiding in the accuracy of text generation by providing context.
- Feature Extraction. This method processes audio signals to extract relevant features that help distinguish different phonemes and words.
- End-to-End Learning. This approach trains a single model that directly takes audio input and produces text output, streamlining the transcription process.