How does Catalan Speech To Text work?
- Automatic Speech Recognition (ASR). ASR captures and analyzes the audio input to identify and transcribe spoken words into text using complex algorithms.
- Natural Language Processing (NLP). NLP enhances the output by understanding contextual meaning, improving accuracy in recognizing phrases and sentences.
- Machine Learning Models. These models are trained on extensive datasets to improve the transcription accuracy over time as they learn from new inputs.
- Voice Activity Detection (VAD). VAD detects the presence of human speech in audio signals, effectively distinguishing between speech and background noise.
