An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech Recognition

Bell System Technical Journal

Volumn 62, Issue 4, 1983, Pages 1035-1074

  Levinson, S E ^a   Rabiner, L R ^a   Sondhi, M M ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

PROBABILITY;

AUTOMATIC SPEECH RECOGNITION; BAUM-WELCH ALGORITHM; LEFT-TO-RIGHT MODELS; MARKOV CHAIN;

SPEECH;

EID: 0020734214     PISSN: 00058580     EISSN: 15387305     Source Type: Journal    
DOI: 10.1002/j.1538-7305.1983.tb03114.x     Document Type: Article

References (29)

1. “The DRAGON System—An Overview,”
2. “Stochastic Modeling for Automatic Speech Understanding,” in
3. “Decoding for Channels with Insertions, Deletions and Substitutions, with Applications to Speech Recognition,”
4. “Automatic Recognition of Continuously Spoken Sentences from a Finite State Grammar,”
5. “Preliminary Results on the Performance of a System for the Automatic Recognition of Continuous Speech,”
6. “Recognition of a Continuously Read Natural Corpus,”
7. “Further Results on the Recognition of a Continuously Read Natural Corpus,”
8. “Recognition Results with Several Experimental Acoustic Processors,”
9. “Interpolated Estimation of Markov Source Parameters from Sparse Data,” in
10. “Fast Sequential Decoding Algorithm Using a Stack,”
11. “Design of a Linguistic Statistical Decoder for the Recognition of Continuous Speech,”
12. “Continuous Speech Recognition by Statistical Methods,”
13. “An Inequality and Associated Maximization Technique in Statistical Estimation for Probabilistic Functions of a Markov Process,”
14. “An Inequality with Applications to Statistical Estimation for Probabilistic Functions of a Markov Process and to a Model for Ecology,”
15. “Statistical Inference for Probabilistic Functions of Finite State Markov Chains,”
16. “A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains,”
17. “Growth Transformations for Functions on Manifolds,”
18. “The Jacobian of a Growth Transformation,”
19. “Invariant Functions of an Iterative Process for Maximization of a Polynomial,”
20. “Isolated and Connected Word Recognition—Theory and Selected Applications,”
21. “On the Application of Vector Quantization and Hidden Markov Models to Speaker‐Independent Isolated Word Recognition,”
22. “An Example of Statistical Investigation in the Text of ‘Eugene Onyegin’ Illustrating Coupling of Tests in Chains,”
23. “Error Bounds for Convolutional Codes and an Asymptotically Optimal Decoding Algorithm,”
24. “The Gradient Projection Method for Nonlinear Programming—Part I: Linear Constraints,”
25. “A Rapidly Convergent Descent Method for Minimization,”
26. “Maximum Likelihood Estimation for Multivariate Observations of Markov Sources,”