Method and apparatus for processing number in a text to speech (TTS) application

• US 20030216920A1
• Filed: 05/16/2002
• Published: 11/20/2003
• Est. Priority Date: 05/16/2002
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Bao, Jianghua
• Application Number:
  US10/150,207
• Publication Number:
  US 20030216920A1
• Time in Patent Office: Days
• US Class Current: 704/260
• 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

Methods for processing speech data are described herein. In one aspect of the invention, an exemplary method includes identifying a number from a text string received, parsing the number into magnitudes, matching each magnitude with a script from a database, and generating a voice output based on the script. Other methods and apparatuses are also described.

Claims

1. A method, comprising:

receiving a text string;

identifying a number in the text string;

parsing the number into magnitudes;

matching each magnitude with a script from a database; and

generating a voice output based on the script.

2. The method of claim 1, further comprising dividing the number into a plurality of groups, each of the plurality of groups being associated with a magnitude.

3. The method of claim 2, wherein each of the plurality of groups is matched with a corresponding script from the database.

4. The method of claim 1, wherein the database comprises multiple databases.

5. The method of claim 1, wherein the magnitudes comprises 100,000,000, 1,000,000, 10,000, 1000, 100, and 10.

6. The method of claim 1, further comprising transcribing the number into a language representation.

7. The method of claim 1, further comprising combining all the magnitudes to generate a candidate list corresponding to the number.

8. The method of claim 7, further comprising selecting four-digit numbers through a greedy algorithm.

9. The method of claim 1, wherein the database contains multiple scripts corresponding to a single digit.

10. The method of claim 1, further comprising examining the text string to determine whether the number should be read as an integer or as a sequence of digits.

11. The method of claim 10, further comprising:

if the number should be read as a sequence of digits, dividing the number into a plurality of single digits, and matching each of the plurality of the single digits into a corresponding script from the database.

12. The method of claim 1, further comprising detecting a starting digit and a ending digit of the number.

13. The method of claim 11, wherein the starting and ending digits are detected based on silence indicators preceding and following the digits.

14. A method, comprising:

identifying a number in a text string;

detecting a decimal of the number;

extracting first digits preceding the decimal;

parsing the first digits into magnitudes;

matching each magnitude with a script from a database; and

generating a first voice output based on the script.

15. The method of claim 14, further comprising:

extracting second digits following the decimal;

matching each of the second digits in the script according to the digits before and after;

retrieving the speech data of the matched unit in the database;

generating a second voice output based on the speech data; and

combining the first and second voice outputs to create a final voice output.

16. The method of claim 15, further comprising:

retrieving a script corresponding to the decimal from the database;

generating a third voice output based on the script corresponding to the decimal; and

combining the first, second and third voice outputs to generate the final voice output.

17. The method of claim 14, further comprising dividing the first digits into a plurality of groups, wherein each of the plurality of groups is associated with a magnitude.

18. The method of claim 17, wherein each of the plurality of groups is matched with a corresponding script from the database.

19. A machine-readable medium having stored thereon executable code which causes a machine to perform a method, the method comprising:

receiving a text string;

identifying a number in the text string;

parsing the number into magnitudes;

matching each magnitude with a script from a database; and

generating a voice output based on the script.

20. The machine-readable medium of claim 19, wherein the method further comprises dividing the number into a plurality of groups, each of the plurality of groups being associated with a magnitude.

21. The machine-readable medium of claim 19, wherein the method further comprises examining the text string to determine whether the number should be read as an integer or as a sequence of digits.

22. The machine-readable medium of claim 21, wherein the method further comprises:

if the number should be read as a sequence of digits, dividing the number into a plurality of single digits, and matching each of the plurality of the single digits into a corresponding script from the database.

23. A machine-readable medium having stored thereon executable code which causes a machine to perform a method, converting numeric text to speech, the method comprising:

identifying a number in a text string;

detecting a decimal of the number;

extracting first digits preceding the decimal;

parsing the first digits into magnitudes;

matching each magnitude with a script from a database; and

generating a first voice output based on the script.

24. The machine-readable medium of claim 23, wherein the method further comprises:

extracting second digits following the decimal;

matching each of the second digits in the script according to the digits before and after;

retrieving the speech data of the matched unit in the database;

generating a second voice output based on the speech data; and

combining the first and second voice outputs to create a final voice output.

25. The machine-readable medium of claim 24, wherein the method further comprises:

retrieving a script corresponding to the decimal from the database;

generating a third voice output based on the script corresponding to the decimal; and

combining the first, second and third voice outputs to generate the final voice output.

26. A system, comprising:

a first unit to receive and identify a number in a text string;

a second unit to parse the number into magnitudes;

a third unit to match each magnitude with a script from a database; and

a fourth unit to generate a voice output based on the script.

27. The system of claim 26, wherein the second unit divides the number into a plurality of groups, each of the plurality of groups being associated with a magnitude.

28. A system, comprising:

a first unit to identify a number in a text string;

a second unit to detect a decimal of the number;

a third unit to extract first digits preceding the decimal;

a fourth unit to parse the first digits into magnitudes;

a fifth unit to match each magnitude with a script from a database; and

a sixth unit to generate a first voice output based on the script.

29. The system of claim 28, wherein:

the third unit extracts second digits following the decimal;

the fifth unit matches each of the second digits in the script according to the digits before and after, and retrieves the speech data of the matched unit in the database; and

the sixth unit generates a second voice output based on the speech data, and combines the first and second voice outputs to create a final voice output.

30. The system of claim 29, wherein:

the fifth unit retrieves a script corresponding to the decimal from the database; and

the sixth unit generates a third voice output based on the script corresponding to the decimal, and combines the first, second and third voice outputs to generate the final voice output.