A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition

Rabiner, L. R. (1989). A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proceedings of the IEEE, 77(2), 257-286.

Type

Journal article

Intellectual base

Review or monograph

Year

1989

Volume

77

Issue

2

Pages

257-286

DOI

10.1109/5.18626

DOI registrant

Institute of Electrical and Electronics Engineers

Link

https://doi.org/10.1109/5.18626

Cited from

computer_science

Cited by

3 citations across 3 artifacts.

Primes

• State and State Transition
  • Are there hidden states that an external observer cannot directly see, and how would one infer them from observations

Domain-specific

• Forward–Backward Algorithm
  • The finite-state Markov-inference foundations appear in Baum and Petrie's work, and Rabiner gives the standard recursions and their HMM applications.
• Hidden Markov model
  • Biomedical, behavioral, and security examples remain conceptual and nonprocedural; the entry does not provide diagnosis, surveillance deployment, attack, or model-operationalization guidance.

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