Voice recognition software uses advanced algorithms and AI to convert audio inputs into text. It involves several steps such as audio signal processing, pattern recognition, and natural language processing. The software is trained on vast datasets to improve its accuracy and can adapt to different accents and terminologies specific to histology.
