초록 ▼

Algorithms for synthesizing speech used to identify media assets are provided. Speech may be selectively synthesized form text strings associated with media assets. A text string may be normalized and its native language determined for obtaining a target phoneme for providing human-sounding speech i

Algorithms for synthesizing speech used to identify media assets are provided. Speech may be selectively synthesized form text strings associated with media assets. A text string may be normalized and its native language determined for obtaining a target phoneme for providing human-sounding speech in a language (e.g., dialect or accent) that is familiar to a user. The algorithms may be implemented on a system including several dedicated render engines. The system may be part of a back end coupled to a front end including storage for media assets and associated synthesized speech, and a request processor for receiving and processing requests that result in providing the synthesized speech. The front end may communicate media assets and associated synthesized speech content over a network to host devices coupled to portable electronic devices on which the media assets and synthesized speech are played back.

대표청구항 ▼

1. A method for normalizing a text string for text to speech synthesis, the method comprising: at a system having one or more processors: identifying a character sequence in the text string, the character sequence including at least a first non-alphabetical character adjacent one or more alphabetica

1. A method for normalizing a text string for text to speech synthesis, the method comprising: at a system having one or more processors: identifying a character sequence in the text string, the character sequence including at least a first non-alphabetical character adjacent one or more alphabetical characters;identifying two or more alternative alphabetical characters or character strings that correspond to the first non-alphabetical character adjacent the one or more alphabetical characters;creating a plurality of test strings, each test string being a version of the text string that is modified to include a different one of the identified two or more alternative alphabetical characters or character strings instead of the first non-alphabetical character adjacent the one or more alphabetical characters; andselecting a first test string from the plurality of test strings to replace the text string in speech synthesis based on respective probabilities of occurrence of the plurality of test strings in a source language of the text string. 2. The method of claim 1 wherein identifying the two or more alternative alphabetical characters or character strings further comprises consulting a table listing one or more respective alphabetical characters or character strings that potentially correspond to each of a plurality of known non-alphabetical characters. 3. The method of claim 1 further comprising: determining whether the first test string is in vocabulary. 4. The method of claim 3 wherein determining whether the first test string is in vocabulary comprises consulting a table including words that are known in a plurality of languages. 5. The method of claim 1 wherein the first non-alphabetical character is a number, a punctuation mark or any other non-alphabetical symbol, and wherein the first non-alphabetical character corresponds to part of a single word that includes the one or more alphabetical characters adjacent to the first non-alphabetical character. 6. The method of claim 1 further comprising separating the text string into two or more character sequences based on predefined boundary characters in the text string. 7. The method of claim 6 wherein each of the two or more character sequences separated from the text string corresponds to a respective word. 8. The method of claim 1 wherein identifying the two or more alternative alphabetical characters or character strings further comprises identifying the two or more alternative alphabetical characters or character strings based on a context that includes the one or more alphabetical characters adjacent the first non-alphabetical character. 9. A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors, cause the one or more processors to: identify a character sequence in the text string, the character sequence including at least a first non-alphabetical character adjacent one or more alphabetical characters;identify two or more alternative alphabetical characters or character strings that correspond to the first non-alphabetical character adjacent the one or more alphabetical characters;create a plurality of test strings, each test string being a version of the text string that is modified to include a different one of the identified two or more alternative alphabetical characters or character strings instead of the first non-alphabetical character adjacent the one or more alphabetical characters;select a first test string from the plurality of test strings to replace the text string in speech synthesis based on respective probabilities of occurrence of the plurality of test strings in a source language of the text string. 10. The non-transitory computer-readable storage medium of claim 9 wherein identifying the two or more alternative alphabetical characters or character strings further comprises consulting a table listing one or more respective alphabetical characters or character strings that potentially correspond to each of a plurality of known non-alphabetical characters. 11. The non-transitory computer-readable storage medium of claim 9 wherein the instructions further cause the one or more processors to: determine whether the first test string is in vocabulary. 12. The non-transitory computer-readable storage medium of claim 11 wherein determining whether the first test string is in vocabulary comprises consulting a table including words that are known in a plurality of languages. 13. The non-transitory computer-readable storage medium of claim 9 wherein the first non-alphabetical character is a number, a punctuation mark or any other non-alphabetical symbol, and wherein the first non-alphabetical character corresponds to part of a single word that includes the one or more alphabetical characters adjacent to the first non-alphabetical character. 14. The non-transitory computer-readable storage medium of claim 9 wherein the instructions further cause the one or more processors to separate the text string into two or more character sequences based on predefined boundary characters in the text string. 15. The non-transitory computer-readable storage medium of claim 14 wherein each of the two or more character sequences separated from the text string corresponds to a respective word. 16. The non-transitory computer-readable storage medium of claim 9 wherein identifying the two or more alternative alphabetical characters or character strings further comprises identifying the two or more alternative alphabetical characters or character strings based on a context that includes the one or more alphabetical characters adjacent the first non-alphabetical character. 17. A system, comprising: one or more processors; andmemory, the memory storing one or more programs, the one or more programs comprising instructions, which when executed by the one or more processors, cause the one or more processors to: identify a character sequence in the text string, the character sequence including at least a first non-alphabetical character adjacent one or more alphabetical characters;identify two or more alternative alphabetical characters or character strings that correspond to the first non-alphabetical character adjacent the one or more alphabetical characters;create a plurality of test strings, each test string being a version of the text string that is modified to include a different one of the identified two or more alternative alphabetical characters or character strings instead of the first non-alphabetical character adjacent the one or more alphabetical characters;select a first test string from the plurality of test strings to replace the text string in speech synthesis based on respective probabilities of occurrence of the plurality of test strings in a source language of the text string. 18. The system of claim 17 wherein identifying the two or more alternative alphabetical characters or character strings further comprises consulting a table listing one or more respective alphabetical characters or character strings that potentially correspond to each of a plurality of known non-alphabetical characters. 19. The system of claim 17 wherein the instructions further cause the one or more processors to: determine whether the first test string is in vocabulary. 20. The system of claim 19 wherein determining whether the first test string is in vocabulary comprises consulting a table including words that are known in a plurality of languages. 21. The system of claim 17 wherein the first non-alphabetical character is a number, a punctuation mark or any other non-alphabetical symbol, and wherein the first non-alphabetical character corresponds to part of a single word that includes the one or more alphabetical characters adjacent to the first non-alphabetical character. 22. The system of claim 17 wherein the instructions further cause the one or more processors to separate the text string into two or more character sequences based on predefined boundary characters in the text string. 23. The system of claim 17 wherein each of the two or more character sequences separated from the text string corresponds to a respective word. 24. The system of claim 17 wherein identifying the two or more alternative alphabetical characters or character strings further comprises identifying the two or more alternative alphabetical characters or character strings based on a context that includes the one or more alphabetical characters adjacent the first non-alphabetical character.