Systems and methods for aggregating content
Methods and devices produce an audio representation of aggregated content by selecting preferred content from a number of sources. The sources are emotion-tagged. The emotion-tagged preferred content sources are converted into audio files. A set of audio files corresponding to the converted preferred content is generated. The preferred content is individually converted into the audio files. The generated set comprises non-aggregated content.
1. A method for producing an audio representation of aggregated audio content, the method including:
selecting a first piece of preferred content from a first source of text content, wherein the first piece of preferred content comprises a first text and is tagged with a first emotion;
converting the first text to a first speech stored in a first audio file, wherein the first speech replicates a human expression of the first emotion;
selecting a second piece of preferred content from a second source of text content, wherein the second piece of preferred content comprises a second text and is tagged with a second emotion;
converting the second text to a second speech stored in a second audio file, wherein the second speech replicates a human expression of the second emotion; and
aggregating the first audio file and the second audio file into an audio representation that replicates human expression of the first emotion during the first speech and replicates human expression of the second emotion during the second speech, wherein the first piece of preferred content and the second piece of preferred content are individually converted into the first audio file and the second audio file.
2. The method of claim 1 , wherein the aggregating step is performed by a mobile device, wherein the first audio file and the second audio file comprise non-aggregated content.
3. The method of claim 1 , wherein the converting steps are performed by a mobile device.
4. The method of claim 1 , wherein the first piece of preferred content includes text with HTML tags that specify how to perform text-to-speech conversion.
5. The method of claim 1 , further including providing a user interface that allows a user to specify weights to be applied to a plurality of sources to select the first piece of preferred content and the second piece of preferred content.
6. The method of claim 1 , further comprising creating the audio representation by combining converted audio files, wherein each converted audio file corresponds to a separate source from a plurality of sources.
7. The method of claim 1 , wherein the first piece of content is tagged in accordance with at least one of a Plutchik or a Lovheim-cube-based emotion representation.
8. A media device including a processor configured to execute machine-readable software instructions that cause the processor to produce an audio representation of aggregated content by performing the steps of:
selecting a first piece of preferred content from a first source of text content, wherein the first piece of preferred content comprises a first text and is tagged with a first emotion;
converting the first text to a first speech stored in a first audio file, wherein the first speech replicates a human expression of the first emotion;
selecting a second piece of preferred content from a second source of text content, wherein the second piece of preferred content comprises a second text and is tagged with a second emotion;
converting the second text to a second speech stored in a second audio file, wherein the second speech replicates a human expression of the second emotion; and
aggregating the first audio file and the second audio file into an audio representation that replicates the human expression of the first emotion during the first speech and replicates the human expression of the second emotion during the second speech, wherein the first piece of preferred content and the second piece of preferred content are individually converted into the first audio file and the second audio file.
9. The media device of claim 8 , wherein the first piece of preferred content includes text with HTML tags that specify how to perform text-to-speech conversion.
10. The media device of claim 8 , wherein the processor provides a user interface that allows a user to specify weights to be applied to a plurality of sources to select the preferred content.
11. The media device of claim 8 , wherein the audio representation is formed by aggregating independently generated audio files, each of the audio files corresponding to a separate source from a plurality of sources.
12. The media device of claim 8 , wherein the first piece of content is tagged in accordance with at least one of a Plutchik or a Lovheim-cube-based emotion representation.
13. A computer-implemented method for producing an audio representation of aggregated content, the method including:
selecting a first piece of preferred content from a first source of text content, wherein the first piece of preferred content comprises a first text and is tagged with a first emotion;
converting the first text to a first speech stored in a first audio file, wherein the first speech replicates a human expression of the first emotion;
selecting a second piece of preferred content from a second source of text content, wherein the second piece of preferred content comprises a second text and is tagged with a second emotion;
converting the second text to a second speech stored in a second audio file, wherein the second speech replicates a human expression of the second emotion; and
aggregating the first audio file and the second audio file into an audio representation that replicates the human expression of the first emotion during the first speech and replicates the human expression of the second emotion during the second speech, wherein the first piece of preferred content and the second piece of preferred content are individually converted into the audio file and the second audio file.
14. The computer-implemented method of claim 13 , wherein the aggregating step is performed by a mobile device.
15. The computer-implemented method of claim 13 , wherein the converting steps are performed by a mobile device.
16. The computer-implemented method of claim 13 , wherein the first piece of preferred content includes text with HTML tags that specify how text-to-speech conversion should be performed.
17. The computer-implemented method of claim 13 , further comprising producing a user interface that allows a user to specify weights to be applied to plurality of sources to select the preferred content.
18. The computer-implemented method of claim 13 , wherein the audio representation is formed by aggregating independently generated audio files, each of the audio files corresponding to a separate source from a plurality of sources.
19. The computer-implemented method of claim 13 , wherein the first piece of content is tagged in accordance with at least one of a Plutchik or a Lovheim-cube-based emotion representation.
20. The computer-implemented method of claim 13 , further comprising producing a visual representation of an avatar reading aloud the audio representation.