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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 networkI got this question in exam.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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