METHOD AND APPARATUS FOR CREATING CUSTOMIZED PODCASTS WITH MULTIPLE TEXT-TO-SPEECH VOICES

• US 20090204402A1
• Filed: 01/09/2009
• Published: 08/13/2009
• Est. Priority Date: 01/09/2008
• Status: Abandoned Application

• Current Assignee: 8 Figure, LLC
• Original Assignee: 8 Figure, LLC
• Inventors: MARWAHA, Harpreet, ROBINSON, Brett
• Application Number:
  US12/351,675
• Publication Number:
  US 20090204402A1
• Time in Patent Office: Days
• US Class Current: 704/260
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising
• CPC Class Codes: G10L 13/08 Text analysis or generation of parameters for speech synthesis out of text, e.g. grapheme to phoneme translation, prosody generation or stress or intonation determination

Abstract

Method and apparatus for creating customized podcasts with multiple voices, where text content is converted into audio content, and where the voices are selected at least in part on words in the text content suggestive of the type of voice. Types of voice include at least male and female, accent, language, and speed.

Claims

1. A method comprising:

receiving a text file including text content;

converting the text content into audio content such that the audio content allows a user to listen to an audio version of the text content, the conversion using text-to-speech technology in which one or more of a plurality of text-to-speech voices can be used to convert the text content to audio content; and

creating a podcast file from the audio content,

wherein the converting includes identifying one or more words within the text content and wherein the text-to-speech voices are selected automatically based at least in part on the identified words in the text content.

2. The method of claim 1, wherein the text-to-speech voices are representative of both male and female voices.

3. The method of claim 2, wherein the text-to-speech voice representative of the male voice is selected based at least in part on words in the text content suggestive of a male speaker, and wherein the text-to-speech voice representative of the female voice is selected based at least in part on words in the text content suggestive of a female speaker.

4. The method of claim 1, wherein the text-to-speech voices are representative of more than one geographical accent, and wherein the text-to-speech voices are selected based at least in part on identified words suggestive of a geographic location.

5. The method of claim 1, wherein the text-to-speech voices are representative of different speeds of reading the text content.

6. The method of claim 1, further comprising correcting the pronunciation of at least one word in the podcast.

7. The method of claim 1, further comprising:

adding one or more speech references to the text content; and

selecting between the text-to-speech voices based at least in part on the one or more speech references.

8. The method of claim 7, wherein the speech reference is indicative of the sex of a speaker.

9. The method of claim 7, wherein the speech reference is indicative of the geographic location of a speaker.

10. The method of claim 7, wherein the speech references are application program interfaces.

11. The method of claim 1, further comprising using a phonetic dictionary to improve the pronunciation of at least one text-to-speech word.

12. The method of claim 1, wherein the podcast is an audio podcast.

13. The method of claim 1, wherein the podcast is a video podcast.

14. The method of claim 1, wherein the text-to-speech voices are representative of more than one language, and wherein the text-to-speech language is selected based at least in part on text content suggestive of a geographic location and/or a language.

15. A system comprising:

an interface for receiving a text file including text content;

a processor for converting the text content into audio content such that the audio content allows a user to listen to an audio version of the text content, the conversion using text-to-speech technology in which one or more of a plurality of text-to-speech voices can be used to convert the text content to audio content, and for creating a podcast file from the audio content,

wherein the processor for converting identifies one or more words within the text content and wherein the text-to-speech voices are selected automatically based at least in part on the identified words in the text content.

16. The system of claim 15, further comprising:

an interface for receiving video content from a media source, wherein the podcast is a video podcast, and wherein the video content is associated with the audio content in the podcast file.

17. The system of claim 15, wherein the text-to-speech voices are representative of both male and female voices, and wherein the text-to-speech voice representative of the male voice is selected based at least in part on words in the text content suggestive of a male speaker, and wherein the text-to-speech voice representative of the female voice is selected based at least in part on words in the text content suggestive of a female speaker.

18. The system of claim 15, wherein the text-to-speech voices are representative of more than one geographical accent, and wherein the text-to-speech voices are selected based at least in part on identified words suggestive of a geographic location.

19. The system of claim 15, wherein the text-to-speech voices are representative of different speeds of reading the text content.

20. The system of claim 15, wherein the text-to-speech voices are representative of more than one language, and wherein the text-to-speech language is selected based at least in part on words in the text content suggestive of a geographic location and/or a language.