Spoken dialogue system, a spoken dialogue method and a method of adapting a spoken dialogue system
AssigneeKabushiki Kaisha Toshiba
InventorsMargarita Kotti, Alexandros Papangelis, Ioannis Stylianou
Life of this patent
Estimating the term…
Abstract
A spoken dialogue system comprising: an input for receiving data relating to speech signals originating from a user, where the speech signals form part of a dialogue; an output for outputting information specified by an action; and a processor configured to: extract one or more acoustic features from the input speech signal; determine an action using a dialogue model, wherein the input to the dialogue model is generated using the input speech signal; output information specified by the action at the output; generate a success measure using the acoustic features.
Claims14
A spoken dialogue system comprising:
- an input configured to receive data relating to a speech signal originating from a user, where the speech signal forms a part of a dialogue;
- a processor configured to:
- extract one or more acoustic features from the input speech signal;
- update a system state based on the input speech signal using a state tracker model;
- determine a system action using a policy model, wherein the updated system state is the input to the policy model, and a reward function depends on the system action and the system state;
- generate a success measure using one or more classifiers inputting feature vectors including the acoustic features, wherein the success measure as an input is included in the reward function;
- calculate a reward value R of the reward function using the success measure, the reward function being calculated by formula:
- R={Y×(success measure)}−N,
- wherein N is a total number of dialog turns that have actually occurred and Y is a pre-determined factor;
- and
- update the policy model using the reward value;
- and
- an output configured to output information specified by the system action;
- wherein a feature vector is generated using the acoustic features, and inputted into one or more classifiers, and
- the one or more classifiers are configured to output the success measure.
A method of adapting a spoken dialogue system, the method comprising:
- extracting one or more acoustic features from an input speech signal;
- updating a system state based on the input speech signal using a state tracker model;
- determining a system action using a dialogue model, wherein the input to the dialogue model is generated using the input speech signal, and a reward function depends on the system action and the system state;
- outputting information relating to the action at the output;
- generating a success measure using one or more classifiers inputting feature vectors including the acoustic features, wherein the success measure as an input is included in the reward function;
- calculating a reward value R of the reward function using the success measure, the reward function being calculated by formula:
- R={Y×(success measure)}−N,
- wherein N is a total number of dialog turns that have actually occurred and Y is a pre-determined factor;
- and
- adapting the dialogue model to increase a performance indicator.
Dependencies are inferred from the claim text.