US2021349938A1PendingUtilityA1

Systems and methods for generating and managing audio content

Assignee: VERIZON MEDIA INCPriority: Oct 11, 2013Filed: Jul 20, 2021Published: Nov 11, 2021
Est. expiryOct 11, 2033(~7.2 yrs left)· nominal 20-yr term from priority
G06F 16/60G06F 16/4393G06F 3/0484H04M 2203/356H04M 7/0069H04M 3/42221H04L 65/60H04M 2203/655H04L 67/02G06F 16/972G06F 16/958G06F 16/40G10L 15/26
47
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Claims

Abstract

Methods, systems, and computer-readable media are disclosed for generating and managing audio content, such as blogcast episodes. In accordance with one implementation, a computer-implemented method is provided that includes operations performed by at least one processor including retrieving a plurality of stored snippets of media content related to a blogcast episode, the plurality of stored snippets of media content including one or more snippets of user-contributed content. The method also includes receiving snippet metric data associated with one or more snippets of user-contributed content. In addition, the method includes selecting two or more snippets of the plurality of stored snippets of media content including at least one snippet of user-contributed content and generating a blogcast episode comprising the two or more snippets of the plurality of snippets of media content.

Claims

exact text as granted — not AI-modified
1 - 20 . (canceled) 
     
     
         21 . A method for compiling a media episode, the method comprising the following operations performed by one or more processors:
 receiving, by a host device, one or more snippets of media content related to a media episode, the one or more snippets of media content including user-contributed content;   selecting, based on a set of compilation parameters associated with the one or more snippets of media content, a first snippet of media content and a second snippet of media content for inclusion in the media episode;   parsing the user-contributed content to identify one or more segments of audio data for speech-to-text conversion;   converting the one or more of the identified segments of audio data to a textual transcript; and   generating the media episode for presentation on a user device.   
     
     
         22 . The method of  claim 21 , wherein the user-contributed content further includes at least one of audio data of calls between a host and a participant associated with the media episode, comments written on an article associated with the media episode, and comments provided by a reader on a respective snippet from the media content that is embedded in a website. 
     
     
         23 . The method of  claim 21 , wherein the set of compilation parameters include data quantifying interactions with the user-contributed content. 
     
     
         24 . The method of  claim 21 , wherein the selecting, based on the set of compilation parameters associated with the one or more snippets of media content, further includes analyzing quantified data that specifies reader interactions with the user-contributed content that is embedded in stored electronic web page content. 
     
     
         25 . The method of  claim 24 , wherein the user-contributed content which is subject to a greatest degree of reader interaction is selected. 
     
     
         26 . The method of  claim 21 , wherein at least a subset of the user-contributed content is converted from text to audio for inclusion in the media episode. 
     
     
         27 . The method of  claim 21 , wherein a link corresponds to a specific snippet of the user-contributed content within the media episode. 
     
     
         28 . The method of  claim 21 , wherein the set of compilation parameters include at least one of a length of time of the media episode and a number of snippets to include in the media episode from the one or more snippets of media content including the user-contributed content. 
     
     
         29 . The method of  claim 21 , wherein the method further comprises selecting electronic targeted content to include in the media episode based on an analysis of the textual transcript. 
     
     
         30 . A system for generating a media episode, the system comprising:
 a memory device that stores instructions; and   one or more processors that execute the instructions to perform a series of steps, including:   receiving, by a host device, one or more snippets of media content related to a media episode, the one or more snippets of media content including user-contributed content;   selecting, based on a set of compilation parameters associated with the one or more snippets of media content, a first snippet of media content and a second snippet of media content for inclusion in the media episode;   parsing the user-contributed content to identify one or more segments of audio data for speech-to-text conversion;   converting the one or more of the identified segments of audio data to a textual transcript; and   generating the media episode for presentation on a user device.   
     
     
         31 . The system of  claim 30 , wherein the user-contributed content additionally includes at least one of audio data of calls between a host and a participant associated with the media episode, comments written on an article associated with the media episode, and comments provided by a reader on a respective snippet from the media content that is embedded in a website. 
     
     
         32 . The system of  claim 30 , wherein the set of compilation parameters include data quantifying interactions with the user-contributed content. 
     
     
         33 . The system of  claim 30 , wherein at least a subset of the user-contributed content is converted from text to audio for inclusion in the media episode. 
     
     
         34 . The system of  claim 30 , wherein a link corresponds to a specific snippet of the user-contributed content within the media episode. 
     
     
         35 . The system of  claim 30 , wherein the set of compilation parameters include at least one of a length of time of the media episode and a number of snippets to include in the media episode from the one or more snippets of media content including user-contributed content. 
     
     
         36 . A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to generate a media episode by performing operations comprising:
 receiving, by a host device, one or more snippets of media content related to a media episode, the one or more snippets of media content including user-contributed content;   selecting, based on a set of compilation parameters associated with the one or more snippets of media content, a first snippet of media content and a second snippet of media content for inclusion in the media episode;   parsing the user-contributed content to identify one or more segments of audio data for speech-to-text conversion;   converting the one or more of the identified segments of audio data to a textual transcript; and   generating the media episode for presentation on a user device.   
     
     
         37 . The non-transitory computer-readable medium of  claim 36 , wherein the user-contributed content additionally includes at least one of audio data of calls between a host and a participant associated with the media episode, comments written on an article associated with the media episode, and comments provided by a reader on a respective snippet from the media content that is embedded in a website. 
     
     
         38 . The non-transitory computer-readable medium of  claim 36 , wherein the set of compilation parameters include data quantifying interactions with the user-contributed content. 
     
     
         39 . The non-transitory computer-readable medium of  claim 36 , wherein at least a subset of the user-contributed content is converted from text to audio for inclusion in the media episode. 
     
     
         40 . The non-transitory computer-readable medium of  claim 36 , wherein a link corresponds to a specific snippet of the user-contributed content within the media episode.

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