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SYSTEMS AND METHODS FOR IDENTIFYING CONCEPTS AND KEYWORDS FROM SPOKEN WORDS IN TEXT, AUDIO, AND VIDEO CONTENT

  • US 20130311181A1
  • Filed: 07/29/2013
  • Published: 11/21/2013
  • Est. Priority Date: 09/21/2009
  • Status: Abandoned Application
First Claim
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1. A system for identifying, summarizing, and communicating topics and keywords included within spoken content, which comprises a server that is configured to:

  • (a) receive one or more input files containing spoken content from an external source;

    (b) process the input files using speech-to-text transcription when the spoken content is formatted as a video or audio file; and

    (c) apply an algorithm to the transcribed text in order to analyze the spoken content, wherein the algorithm calculates a total score for each word included within the transcribed text, wherein the total score is calculated using a plurality of metrics which comprise;

    (i) a length of each word in relation to a mean length of words;

    (ii) frequency of letter groups used within each word;

    (iii) frequency of repetition of each word and word sequences;

    (iv) a part of speech that is represented by each word; and

    (v) membership of each word within a custom set of words.

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