How does Danish Speech To Text work?
- Automatic Speech Recognition (ASR). ASR systems convert audio signals into text using complex algorithms that analyze sound patterns and recognize phonemes.
- Natural Language Processing (NLP). NLP is used to understand the context and meaning of the parsed text, allowing for more accurate transcription and formatting.
- Machine Learning. Machine learning algorithms improve the speech recognition process by training on large datasets to recognize various Danish accents and dialects.
- Deep Learning. Deep learning models enhance the accuracy of speech-to-text conversion by utilizing neural networks to recognize verbal patterns and nuances.
