Method and apparatus for extracting key information from conversational voice data

An apparatus for extracting key information from conversational voice data, the apparatus comprising:

• a processor;
• and
• a memory communicably coupled to the processor, wherein the memory comprises computer-executable instructions, which when executed using the processor, perform a method comprising:
• receiving a first speaker text corresponding to a speech of a first speaker in a conversation with a second speaker, the conversation comprising a plurality of turns of speech between the first speaker and the second speaker, the first speaker text comprising a plurality of question lines, each question line corresponding to the speech of the first speaker at a corresponding turn, arranged chronologically,
• identifying a plurality of feature words,
• determining a frequency of occurrence for each of the plurality of feature words in each question line,
• removing, from the plurality of question lines, all question lines which do not contain at least one of the plurality of feature words, to yield a plurality of candidate question lines,
• generating a mathematical representation for each candidate question line,
• computing, using the mathematical representation for each candidate question line, a similarity question score for each candidate question line with respect to each subsequent candidate question line, and
• identifying the candidate question line with the highest similarity question score as a key question.

A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a computer, cause the computer to perform a method for extracting key information from conversational voice data, the method comprising:

• receiving a first speaker text corresponding to a speech of a first speaker in a conversation with a second speaker, the conversation comprising a plurality of turns of speech between the first speaker and the second speaker, the first speaker text comprising a plurality of question lines, each question line corresponding to the speech of the first speaker at a corresponding turn, arranged chronologically;
• identifying a plurality of feature words;
• determining a frequency of occurrence for each of the plurality of feature words in each question line;
• removing, from the plurality of question lines, all question lines which do not contain at least one of the plurality of feature words, to yield a plurality of candidate question lines;
• generating a mathematical representation for each candidate question line;
• computing, using the mathematical representation for each candidate question line, a similarity question score for each candidate question line with respect to each subsequent candidate question line;
• and
• identifying the candidate question line with the highest similarity question score as a key question.