Systems and methods for transforming digital audio content into visual topic-based segments
A system for platform-independent visualization of audio content, in particular audio tracks utilizing a central computer system in communication with user devices via a computer network. The central system utilizes various algorithms to identify spoken content from audio tracks and selects visual assets associated with the identified content. Thereafter, a visualized audio track is available for users to listen and view. Audio tracks, for example Podcasts, may be segmented into topical audio segments based upon themes or topics, with segments from disparate podcasts combined into a single listening experience, based upon certain criteria, e.g., topics, themes, keywords, and the like.
1. A method for packaging audio content by an audio content system to facilitate in viewing, searching and/or sharing of said audio content comprising:
(a) providing an audio track and storing said audio track in a data storage;
(b) converting content contained within said audio track to audio text;
(c) using artificial intelligence to identify one or more interest segments of said audio text;
(d) displaying one or more of said interest segments on an app or computer;
(e) enabling a user to select at least one of said interest segments being displayed on said app or computer to enable said selected interest segment to be displayed in association with a portion of said audio text that exists prior to and/or after said interest segment selected by said user;
(f) enabling said user to view a portion of said audio text that includes said interest segment selected by said user and/or to hear a portion of audio track that includes said interest segment selected by said user; and,
(g) enabling said user to hear said audio track and/or view said audio text from said audio track from beginning to end.
2. The method as defined in claim 1 , further including the steps of:
pairing at least one visual asset to one or more of said interest segments by:
(i) determining a proposed set of visual assets of a plurality of visual assets by performing an automated analysis of said one or more interest segments; and,
(ii) using artificial intelligence to associate a particular visual asset to said one or more interest segments.
3. The method as defined in claim 2 , wherein the at least one visual asset is one of an image, photograph, video, cinemograph, video loop, and/or collage.
4. The method as defined in claim 1 , wherein said audio track is a podcast.
5. The method as defined in claim 1 , wherein a voice recognition module is configured to convert content contained within said audio track to said audio text and a segmentation module is used to divide said audio signal into one or more of said interest segments based on keywords derived from said audio text.
6. The method as defined in claim 1 , wherein a voice recognition module is configured to identify one or more of said interest segments directly from said content contained within said audio track; and wherein automated analysis of said audio track and/or audio text includes analyzing said audio track and/or audio text based on extracted keywords.
7. The method as defined in claim 1 , further including storing one or more of said interest segments in an associated database.
8. The method as defined in claim 1 , further including enabling third party advertising from third party advertisers to be displayed on said app or computer based at least in part on said interest segment being viewed by said user on said app or computer.
9. The method as defined in claim 1 , wherein said artificial intelligence provides suggested new audio content to said user based on one or more of said interest segments selected by said user.
10. The method as defined in claim 1 , wherein said user is able to share a) one or more of said interest segments and/or b) at least a portion of said audio track and/or audio text to one or more third parties via social network, email, and/or text/messaging.