Hidden Markov models for sequence labeling

Markov models are a family of statistical models for the processing, analysis and classification of structured data. This article focuses on one instance of these models, Hidden Markov Models (HMMs), which have been and remain widely used in the classification and labeling of complex sequences and signals. They have been used extensively for tasks linked to the processing of signals and sequences conveying a linguistic message, such as speech signals. , the write signal , text. They have also been used to process various other types of signal in bioinformatics, navigation sequences and human-machine interaction, etc.