How does Spanish Speech To Text work?
- Automatic Speech Recognition (ASR). ASR converts spoken words into text through analyzing sound patterns and phonetics using algorithms.
- Natural Language Processing (NLP). NLP enhances the understanding of context and structure in spoken language, improving transcription accuracy.
- Machine Learning. Machine learning algorithms are trained on large datasets, allowing the system to adapt and improve as it processes more Spanish speech samples.
- Voice Activity Detection (VAD). VAD helps identify when speech is present in audio signals, ensuring that only relevant segments are transcribed for efficiency.