Hidden Markov Model - Applications

Applications

HMMs can be applied in many fields where the goal is to recover a data sequence that is not immediately observable (but other data that depends on the sequence is). Applications include:

  • Cryptanalysis
  • Speech recognition
  • Speech synthesis
  • Part-of-speech tagging
  • Machine translation
  • Partial discharge
  • Gene prediction
  • Alignment of bio-sequences
  • Activity recognition
  • Protein folding
  • Metamorphic Virus Detection

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