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
Read more about this topic: Hidden Markov Model
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