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Bayesian network that models speech signals are called ____

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Bayesian network that models speech signals are called ____

(a) signal Bayesian network

(b) sequential Bayesian network

(c) series Bayesian network

(d) dynamic Bayesian network

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The above asked question is from Techniques in chapter Cognitive Techniques of Cognitive Radio

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The correct choice is (d) dynamic Bayesian network

Best explanation: Bayesian network that replicate sequence of variables such as speech signals are called as dynamic Bayesian network. It has been applied in robotics, bioinformatics, and digital forensics. It is a generalisation of Hidden Markov Model and Kalman filter.

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