Automatic Speech Recognition

The computational technology and algorithms that automatically convert spoken audio into text transcriptions. ASR systems use acoustic models, language models, and increasingly deep learning approaches to process speech signals. ASR accuracy directly impacts the usability of voice-based assistive technologies—when recognition errors occur, users must spend additional effort correcting them, potentially negating the efficiency benefits of voice input. Advances in ASR, including large language model integration, continue to improve accuracy for diverse speakers and noisy environments.