How does German Speech To Text work?
- Automatic Speech Recognition (ASR). ASR technology analyzes audio signals and converts them into text by recognizing phonemes and words in spoken language.
- Natural Language Processing (NLP). NLP techniques are used to understand context and semantics, improving the accuracy of the recognized text and enabling better interaction.
- Machine Learning. Machine Learning algorithms are trained on large datasets to enhance the system's ability to recognize various accents and dialects in spoken German.
- Acoustic Modelling. Acoustic modeling processes audio wave signals to identify different sounds in speech, leading to more precise transcription results.
