Methods and apparatus for generating dialog state conditioned language models
First Claim
1. A method for use in accordance with a dialog system, the method comprising the steps of:
- generating at least one language model, the at least one language model being conditioned on a state of dialog associated with the dialog system; and
storing the at least one language model for subsequent use in accordance with speech recognizer associated with the dialog system;
wherein the step of generating the at least one language model conditioned on a state of dialog associated with the dialog system further comprises the steps of;
dividing training data which is labeled by state into different state sets depending on the state to which the training data belongs; and
building a separate language model for each of the state sets.
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Abstract
Techniques are provided for generating improved language modeling. Such improved modeling is achieved by conditioning a language model on a state of a dialog for which the language model is employed. For example, the techniques of the invention may improve modeling of language for use in a speech recognizer of an automatic natural language based dialog system. Improved usability of the dialog system arises from better recognition of a user'"'"'s utterances by a speech recognizer, associated with the dialog system, using the dialog state-conditioned language models. By way of example, the state of the dialog may be quantified as: (i) the internal state of the natural language understanding part of the dialog system; or (ii) words in the prompt that the dialog system played to the user.
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Citations
18 Claims
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1. A method for use in accordance with a dialog system, the method comprising the steps of:
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generating at least one language model, the at least one language model being conditioned on a state of dialog associated with the dialog system; and
storing the at least one language model for subsequent use in accordance with speech recognizer associated with the dialog system;
wherein the step of generating the at least one language model conditioned on a state of dialog associated with the dialog system further comprises the steps of;
dividing training data which is labeled by state into different state sets depending on the state to which the training data belongs; and
building a separate language model for each of the state sets. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for use in accordance with a dialog system, the method comprising the steps of:
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generating at least on language model, the at least one language model being conditioned on a state of dialog associated with the dialog system; and
storing the at least on language model for subsequent use in accordance with a speech recognizer associated with the dialog system;
wherein the step of generating the at least one language model conditioned on a state of dialog associated with the dialog system further comprises the step of building a model with one or more feature functions incorporating the state of dialog, wherein the feature function model is an exponential model based on an n-gram model. - View Dependent Claims (11, 12, 13)
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14. Apparatus for use in accordance with a dialog system, the apparatus comprising:
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at least one processor operative to generate at least one language model, the at least one language model being conditioned on a state of dialog associated with the dialog system; and
memory, coupled to the at least one processor, for storing the at least one language model for subsequent use in accordance with a speech recognizer associated with the dialog system;
wherein the operation of generating the at least one language model conditioned on a state of dialog associated with the dialog system further comprises;
(i) dividing training data which is labeled by state into different state sets depending on the state to which the training data belongs; and
(ii) building a separate language model for each of the state sets. - View Dependent Claims (15, 16, 17)
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18. Apparatus for use in accordance with a dialog system, the apparatus comprising:
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at least one processor operative to generate at least one language model, the at least one language model being conditioned on a state of dialog associated with the dialog system; and
memory, coupled to the at least one processor, for storing the at least one language model for subsequent use in accordance with a speech recognizer associated with the dialog system;
wherein the operation of generating the at least one language model conditioned on a state of dialog associated with the dialog system further comprises building a model with one or more feature functions incorporating the state of dialog, wherein the feature function model is an exponential model based on an n-gram model.
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Specification