SYSTEM AND METHOD FOR SUPERVISED CREATION OF PERSONALIZED SPEECH SAMPLES LIBRARIES IN REAL-TIME FOR TEXT-TO-SPEECH SYNTHESIS

• US 20140236597A1
• Filed: 04/25/2014
• Published: 08/21/2014
• Est. Priority Date: 03/21/2007
• Status: Abandoned Application

• Current Assignee: VivoText Ltd.
• Original Assignee: VivoText Ltd.
• Inventors: NISSIM, Shai, BEN EZRA, Yossef, SILBERT, Gershon
• Application Number:
  US14/261,981
• Publication Number:
  US 20140236597A1
• Time in Patent Office: Days
• US Class Current: 704/235
• CPC Class Codes: G10L 13/06 Elementary speech units used in speech synthesisers; Concatenation rules
• CPC Class Codes: G10L 13/07 Concatenation rules
• CPC Class Codes: G10L 15/00 Speech recognition G10L17/00 takes precedence

Abstract

A system and method for supervised creation of a speech samples library for text-to speech synthesis are provided. The method includes tracking at least one speech unit in an existing speech samples library to determine if the existing speech samples library achieves a desired quality; receiving at least one speech sample; analyzing the at least one received speech sample to identify at least one speech unit necessitated to obtain the desired quality of the speech samples library; and storing the at least one necessary speech unit in the speech samples library.

Claims

1. A computerized method for supervised creation of a new speech samples library for text-to-speech (TTS) synthesis, comprising:

tracking at least one speech unit in an existing speech samples library to determine if the existing speech samples library achieves a desired quality;

receiving at least one speech sample;

analyzing the at least one received speech sample to identify at least one speech unit necessitated to obtain the desired quality of the speech samples library; and

storing the at least one necessary speech unit in the speech samples library.

2. The computerized method of claim 1, wherein the desired quality is determined respective of a predefined threshold.

3. The computerized method of claim 1, wherein the at least one speech unit is any of:

a phoneme, a bi-phone, and a tri-phone.

4. The computerized method of claim 1, further comprising:

analyzing at least one musical parameter related to the at least one speech unit.

5. The computerized method of claim 4, wherein the at least one musical parameter is any of:

pitch characteristics, duration features, and a sound volume.

6. The computerized method of claim 1, wherein the analysis of the at least one speech sample further comprises:

determining a quality level of the at least one received speech sample.

7. The computerized method of claim 6, wherein the identification of the at least one speech unit further comprises at least one of:

analyzing a location of the at least speech unit within the at least one speech sample, analyzing neighbors of the at least one speech unit in the at least one speech sample, and analyzing a significance of the at least one speech unit.

8. The computerized method of claim 7, wherein the significance of the at least one speech unit is determined based on at least one of:

a frequency of occurrence of the at least one speech unit in the speech samples library, a frequency of occurrence of the at least one speech unit in a natural language speech corpus, an existence of alternative speech units, a lack of any alternative speech units.

9. The computerized method of claim 1, further comprising:

sending a request to at least one user to pronounce the at least one speech sample.

10. The computerized method of claim 9, further comprising:

performing digital signal processing (DSP) when the at least one pronounced speech sample is inconsistent.

11. The computerized method of claim 1, wherein the at least one speech sample is at least one of:

a word, a phrase, and a sentence.

12. A non-transitory computer readable medium having stored thereon instructions for causing one or more processing units to execute the method according to claim 1.

13. A system for supervised creation of a speech samples library for text-to-speech (TTS) synthesis, comprising:

a processor; and

a memory, wherein the memory contains instructions that, when executed by the processor, configure the system to;

track at least one speech unit in an existing speech samples library to determine if the existing speech samples library achieves a desired quality;

receive at least one speech sample;

analyze the at least one received speech sample to identify at least one speech unit necessitated to obtain the desired quality of the speech samples library; and

store at least the one necessary speech unit in the speech samples library.

14. The system of claim 13, wherein the system further comprises:

a speech recognition (SR) system, wherein the SR system is configured to identify at least one speech sample pronounced by a user.

15. The system of claim 13, wherein the system is further configured to:

display a value representing a quality of the speech samples library via an interface.

16. The system of claim 15, further configured to:

return the at least one received speech samples to verify a correct identification of the at least one identified speech sample.

17. The system of claim 13, wherein the desired quality is determined respective of a predefined threshold.

18. The system of claim 13, wherein the at least one speech unit is any of:

a phoneme, a bi-phone, and a tri-phone.

19. The system of claim 13, wherein the system is further configured to:

analyze at least one musical parameter related to the at least one speech unit.

20. The system of claim 19, wherein the at least one musical parameter is at least one of:

pitch characteristics, duration features, and a sound volume.

21. The system of claim 13, wherein the identification of the at least one speech unit further comprises at least one of:

analyzing a location of the at least speech unit within the at least one speech sample, analyzing neighbors of the at least one speech unit in the at least one speech sample, and analyzing a significance of the at least one speech unit.

22. The system of claim 21, wherein the significance of the at least one speech unit is determined based on at least one of:

a frequency of occurrence of the at least one speech unit in the speech samples library, a frequency of occurrence of the at least one speech unit in a natural language speech corpus, an existence of alternative speech units, a lack of any alternative speech units.

23. The system of claim 13, wherein the system is further configured to:

send a request to at least one user to pronounce the at least one speech sample.

24. The system of claim 23, wherein the system is further configured to:

perform digital signal processing (DSP) when the at least one pronounced speech sample is inconsistent.

25. The system of claim 13, wherein the at least one received speech sample is any of:

a word, a phrase, and a sentence.