Hidden Markov Model

A statistical model used extensively in pattern recognition where the system being modeled is assumed to follow a Markov process with hidden (unobserved) states. HMMs have been foundational in both automatic speech recognition and sign language recognition, as they can model sequential data where observations depend on underlying states that transition over time. In accessibility applications, HMMs power many recognition systems that convert speech or sign language into text.