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Systems and methods for normalizing input media

  • US 8,688,435 B2
  • Filed: 09/22/2010
  • Issued: 04/01/2014
  • Est. Priority Date: 09/22/2010
  • Status: Active Grant
First Claim
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1. A system for processing input media for provision to a text to speech engine, the system comprising:

  • a media processor;

    a rules engine queried by the media processor, the rules engine configured to maintain and update rules for processing the input media, wherein the rules comprise pre-parsing rules, parsing rules, tagging rules, and post-parsing rules;

    a pre-parsing filter module queried by the media processor, the pre-parsing filter module configured to determine one or more metadata attributes using pre-parsing rules, wherein one metadata attribute is an application type;

    a parsing filter module queried by the media processor, the parsing filter module configured to query the rules engine for parsing rules associated with the one or more metadata attributes and to identify a content component from the input media using the parsing rules;

    a context and language detector queried by the media processor, the context and language detector configured to determine a default context and a default language for at least part of the content component;

    a learning agent queried by the media processor, the learning agent configured to divide the content component into units of interest;

    a tagging module queried by the media processor, the tagging module configured to query the rules engine for tagging rules associated with the default context and the default language and to iteratively assign tags to the units of interest using the tagging rules, wherein each tag is associated with a post-parsing rule;

    a post-parsing filter module queried by the media processor, the post-parsing filter module configured to modify the content component by executing the post-parsing rules identified by the tags assigned to the units of interest;

    wherein the media processor queries the context and language detector, tagging module, learning agent and post-parsing filter module to iteratively process the content component and modifications thereto until there are no further modifications or a threshold number of iterations are performed; and

    an output module configured to transmit the modified content component.

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