Methods and systems for predicting non-default actions against unstructured utterances
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United States of America Patent
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Jul 18, 2023
Grant Date -
May 12, 2022
app pub date -
Aug 30, 2021
filing date -
Nov 12, 2020
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Abstract
A method to adaptively predict non-default actions against unstructured utterances by an automated assistant operating in a computing-system is provided. The method includes extracting voice-features based on receiving an input utterance from at-least one speaker by an automatic speech recognition (ASR) device, identifying the input utterance as an unstructured utterance based on the extracted voice-features and a mapping between the input utterance with one or more default actions as drawn by the ASR, obtaining at least one probable action to be performed in response to the unstructured utterance through a dynamic bayesian network (DBN). The method further includes providing the at least one probable action obtained by the DBN to the speaker in an order of the posterior probability with respect to each action.
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