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Method for using pauses detected in speech input to assist in interpreting the input during conversational interaction for information retrieval

  • US 10,140,982 B2
  • Filed: 08/31/2017
  • Issued: 11/27/2018
  • Est. Priority Date: 08/03/2012
  • Status: Active Grant
First Claim
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1. A method for using speech disfluencies detected in speech input to assist in interpreting the input, the method comprising:

  • providing access to a set of content items, each of the content items being associated with metadata that describes the corresponding content item;

    receiving a speech input from a user, the input intended by the user to identify at least one desired content item;

    detecting a speech disfluency in the speech input;

    determining a confidence measure of the user in a portion of the speech input following the speech disfluency based on a manner by which the user utters the portion of the speech input following the speech disfluency;

    upon a condition in which the confidence measure does not exceed a threshold value;

    retrieving from memory preferences of the user for particular content items of the set of content items;

    comparing the portion of the speech input to metadata associated with the particular content items of the set of content items;

    determining, based on the comparing, whether metadata associated with a content item of the particular content items at least partially matches the portion of the speech input;

    in response to determining that metadata associated with the content item of the particular content items at least partially matches the portion of the speech input;

    replacing the portion of the speech input with the metadata associated with the content item to generate a query comprising a modified speech input for searching a database associated with the set of content items;

    selecting from the database a subset of content items from the set of content items based on comparing the query and metadata associated with the subset of content items;

    upon a condition in which the confidence measure exceeds a threshold value, selecting the subset of content items from the set of content items based on comparing the speech input and the metadata associated with the subset of content items; and

    presenting the subset of content items to the user.

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