Voice activity detection using partially observable Markov decision process

A POMDP Framework to Find Optimal Inspection and Maintenance Policies via Availability and Profit Maximization for Manufacturing Systems

Maintenance can be the factor of either increasing or decreasing system's availability, so it is valuable work to evaluate a maintenance policy from cost and availability point of view, simultaneously and according to decision maker's priorities. This study proposes a Partially Observable Markov Decision Process (POMDP) framework for a partially observable and stochastically deteriorating syste...

Demonstration of a POMDP Voice Dialer

This is a demonstration of a voice dialer, implemented as a partially observable Markov decision process (POMDP). A realtime graphical display shows the POMDP’s probability distribution over different possible dialog states, and shows how system output is generated and selected. The system demonstrated here includes several recent advances, including an action selection mechanism which unifies ...

Dynamic Decision Model using Partially Observable Markov Decision Process

Toward affective dialogue management using partially observable Markov decision processes

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Gaussian Processes for Fast Policy Optimisation of POMDP-based Dialogue Managers

Modelling dialogue as a Partially Observable Markov Decision Process (POMDP) enables a dialogue policy robust to speech understanding errors to be learnt. However, a major challenge in POMDP policy learning is to maintain tractability, so the use of approximation is inevitable. We propose applying Gaussian Processes in Reinforcement learning of optimal POMDP dialogue policies, in order (1) to m...