Markov Models and Their Application in Speech Recognition
نویسنده
چکیده
In current speech recognition research the use of hidden Markov models becomes more and more successful. However, for those who know little or nothing about (hidden) Markov models, no accessible introduction exists to our knowledge. What is a Markov model? How can Markov models be used as recognizers? Why is a hidden Markov model hidden? In this article an attempt has been made to answer these questions step by step, using numerical examples to clarify the algorithms that are presented. The text has been divided in two major parts. In the fIrst part the theory of Markov models is presented. To increase the readability of this part no references are given; instead we have included a list of recommended literature. In the second part the application of hidden Markov models to speech IS demonstrated in a simple recognition task with ten Dutch digits.
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