SPEECH SUMMARY AND ACTION ITEM GENERATION
Techniques for generating summaries and action items associated with speech are described. Disclosed are techniques for receiving data representing an audio signal including speech, determining one or more words associated with the speech, determining one or more vocal fingerprints associated with the speech, and identifying a keyword associated with the speech using the one or more words and the one or more vocal fingerprints. Presentation of the keyword may be made at a loudspeaker, a display, another user interface, and the like. A summary, including meta-data and a content summary, may be generated from one or more keywords, and the summary may be presented to a user.
1 . A method, comprising:
receiving data representing an audio signal including speech;
determining one or more words associated with the speech;
determining one or more vocal fingerprints associated with the speech;
identifying a keyword associated with the speech using the one or more words and the one or more vocal fingerprints; and
causing presentation of the keyword.
2 . The method of claim 1 , further comprising:
determining one or more acoustic properties associated with the speech; and
identifying the keyword associated with the speech using the one or more acoustic properties.
3 . The method of claim 2 , wherein the one or more acoustic properties comprises at least one of an amplitude, a tone, and a rhythm.
4 . The method of claim 1 , further comprising:
determining a duration associated with each of a subset of the one or more vocal fingerprints;
determining a level of significance of each of the subset of the one or more vocal fingerprints based on the duration; and
identifying the keyword associated with the speech using the level of significance of each of the subset of the one or more vocal fingerprints.
5 . The method of claim 4 , further comprising:
determining a count associated with each of a subset of the one or more words;
determining a level of significance of each of the subset of the one or more words based on the count and the duration associated with each of the subset of the one or more vocal fingerprints; and
identifying the keyword associated with the speech using the significance of each of the subset of the one or more words.
6 . The method of claim 1 , further comprising:
assigning a weight to each of a subset of the one or more words using the one or more vocal fingerprints;
identifying a plurality of keywords based on the weight;
generating a summary using the plurality of keywords; and
presenting the summary.
7 . The method of claim 1 , further comprising:
identifying a meta-data associated with the speech using the one or more words and the one or more vocal fingerprints.
8 . The method of claim 1 , further comprising:
determining a first meta-data and a first weight associated with the first meta-data using the one or more words;
determining a second meta-data and a second weight associated with the second meta-data using the one or more vocal fingerprints;
determining a third meta-data using the first weight associated with the first meta-data and the second weight associated with the second meta-data;
generating a summary using the third meta-data; and
presenting the summary.
9 . The method of claim 1 , further comprising:
determining a user profile of a speaker using one of the one or more vocal fingerprints; and
identifying the keyword associated with the speech using the user profile of the speaker.
10 . The method of claim 1 , further comprising:
determining an acoustic property associated with one of the one or more vocal fingerprints; and
identifying a role of a speaker associated with the one of the one or more vocal fingerprints using the acoustic property.
11 . The method of claim 1 , further comprising:
identifying a sentence associated with the keyword; and
causing presentation of the sentence at the user interface.
12 . The method of claim 1 , further comprising:
receiving data representing a call; and
causing presentation of the keyword at a loudspeaker,
wherein the data associated with the audio signal is associated with a telephone conference.
13 . The method of claim 1 , further comprising:
identifying an event expressed in the speech using the one or more words and the one or more vocal fingerprints;
causing storage of data representing the event at an electronic calendar at a memory.
14 . The method of claim 1 , further comprising:
identifying a task expressed in the speech using the one or more words and the one or more vocal fingerprints;
causing storage of data representing the task at an electronic task list at a memory.
15 . A method, comprising:
receiving data representing an audio signal associated with a speech session from a microphone coupled to a media device;
receiving data representing an incoming call from another device;
determining one or more words associated with the speech session;
determining one or more vocal fingerprints associated with the speech session;
generating a summary associated with the speech session using the one or more words and the one or more vocal fingerprints; and
causing presentation of the summary at a loudspeaker coupled to the another device.
16 . The method of claim 15 , further comprising:
receiving data representing another audio signal associated with the speech session from a communications facility coupled to the media device.
17 . The method of claim 15 , further comprising:
determining one or more acoustic properties associated with the speech session; and
generating the summary associated with the speech session using the one or more acoustic properties.
18 . The method of claim 15 , further comprising:
determining a duration associated with each of a subset of the one or more vocal fingerprints;
determining a level of significance of each of the subset of the one or more vocal fingerprints based on the duration;
identifying a keyword associated with the speech session using the level of significance of each of the subset of the one or more vocal fingerprints; and
generating the summary using the keyword.
19 . The method of claim 18 , further comprising:
determining a count associated with each of a subset of the one or more words;
determining a level of significance of each of the subset of the one or more words based on the count and the duration associated with each of the subset of the one or more vocal fingerprints; and
identifying the keyword associated with the speech session using the level of significance of each of the subset of the one or more words.
20 . The method of claim 15 , further comprising:
identifying a meta-data associated with the speech session using the one or more words and the one or more vocal fingerprints.