METHOD AND APPARATUS FOR GENERATING SYNTHETIC SPEECH WITH CONTRASTIVE STRESS

• US 20130231935A1
• Filed: 04/17/2013
• Published: 09/05/2013
• Est. Priority Date: 02/12/2010
• Status: Active Grant

• Current Assignee: Cerence Operating Company (Cerence Inc.)
• Original Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Inventors: Meyer, Darren C., Springer, Stephen R.
• Granted Patent: US 8,682,671 B2
• Time in Patent Office: Days
• US Class Current: 704/260
• CPC Class Codes: G10L 13/00 Speech synthesis; Text to speech systems
• CPC Class Codes: G10L 13/02 Methods for producing synthetic speech; Speech synthesisers
• CPC Class Codes: G10L 13/033 Voice editing, e.g. manipulating the voice of the synthesiser
• CPC Class Codes: G10L 13/04 Details of speech synthesis systems, e.g. synthesiser structure or memory management

Abstract

Techniques for generating synthetic speech with contrastive stress. In one aspect, a speech-enabled application generates a text input including a text transcription of a desired speech output, and inputs the text input to a speech synthesis system. The synthesis system generates an audio speech output corresponding to at least a portion of the text input, with at least one portion carrying contrastive stress, and provides the audio speech output for the speech-enabled application. In another aspect, a speech-enabled application inputs a plurality of text strings, each corresponding to a portion of a desired speech output, to a software module for rendering contrastive stress. The software module identifies a plurality of audio recordings that render at least one portion of at least one of the text strings as speech carrying contrastive stress. The speech-enabled application generates an audio speech output corresponding to the desired speech output using the audio recordings.

Claims

1-6. -6. (canceled)

7. A method for use with a speech-enabled application, the method comprising:

receiving, from the speech-enabled application, input comprising a plurality of text strings;

identifying a first portion of a first text string of the plurality of text strings as differing from a corresponding first portion of a second text string of the plurality of text strings, and a second portion of the first text string as not differing from a corresponding second portion of the second text string;

assigning contrastive stress to the identified first portion of the first text string, but not to the identified second portion of the first text string;

generating, using at least one computer system, speech synthesis output to render the plurality of text strings as speech having the assigned contrastive stress; and

providing the speech synthesis output for the speech-enabled application.

8. The method of claim 7, wherein the identifying comprises identifying the first portion of the first text string as differing from the corresponding first portion of the second text string based at least in part on a normalized orthography of the first and second text strings.

9. The method of claim 7, wherein the first and second text strings represent different numerical fields within a larger text string.

10. The method of claim 9, wherein the numerical fields are selected from the group consisting of:

currency fields, date fields, digit sequence fields, number fields, fractional number fields, ordinal number fields, telephone number fields, flight number fields, street number fields, time fields, and zipcode fields.

11. The method of claim 7, wherein the receiving comprises receiving the first and second text strings as first and second parameters passed to a function called by the speech-enabled application to render the first and second text strings with a contrastive stress pattern.

12. The method of claim 7, wherein the speech synthesis output comprises identification of a plurality of audio recordings to render the plurality of text strings as speech, at least one of the plurality of audio recordings being selected to render the first portion of the first text string as speech carrying contrastive stress.

13. The method of claim 7, wherein the speech synthesis output comprises an indication of the identified first portion of the first text string as being assigned contrastive stress.

14. At least one non-transitory computer-readable storage medium encoded with a plurality of computer-executable instructions that, when executed, perform a method for use with a speech-enabled application, the method comprising:

receiving, from the speech-enabled application, input comprising a plurality of text strings;

identifying a first portion of a first text string of the plurality of text strings as differing from a corresponding first portion of a second text string of the plurality of text strings, and a second portion of the first text string as not differing from a corresponding second portion of the second text string;

assigning contrastive stress to the identified first portion of the first text string, but not to the identified second portion of the first text string;

generating speech synthesis output to render the plurality of text strings as speech having the assigned contrastive stress; and

providing the speech synthesis output for the speech-enabled application.

15. The at least one non-transitory computer-readable storage medium of claim 14, wherein the identifying comprises identifying the first portion of the first text string as differing from the corresponding first portion of the second text string based at least in part on a normalized orthography of the first and second text strings.

16. The at least one non-transitory computer-readable storage medium of claim 14, wherein the first and second text strings represent different numerical fields within a larger text string.

17. The at least one non-transitory computer-readable storage medium of claim 16, wherein the numerical fields are selected from the group consisting of:

currency fields, date fields, digit sequence fields, number fields, fractional number fields, ordinal number fields, telephone number fields, flight number fields, street number fields, time fields, and zipcode fields.

18. The at least one non-transitory computer-readable storage medium of claim 14, wherein the receiving comprises receiving the first and second text strings as first and second parameters passed to a function called by the speech-enabled application to render the first and second text strings with a contrastive stress pattern.

19. The at least one non-transitory computer-readable storage medium of claim 14, wherein the speech synthesis output comprises identification of a plurality of audio recordings to render the plurality of text strings as speech, at least one of the plurality of audio recordings being selected to render the first portion of the first text string as speech carrying contrastive stress.

20. The at least one non-transitory computer-readable storage medium of claim 14, wherein the speech synthesis output comprises an indication of the identified first portion of the first text string as being assigned contrastive stress.

21. A method for generating speech output via a speech-enabled application, the method comprising:

generating, using at least one computer system executing the speech-enabled application, a plurality of text strings, each of the plurality of text strings corresponding to a portion of a desired speech output;

inputting the plurality of text strings to at least one software module configured to identify a first portion of a first text string of the plurality of text strings as differing from a corresponding first portion of a second text string of the plurality of text strings, and a second portion of the first text string as not differing from a corresponding second portion of the second text string;

receiving, from the at least one software module, speech synthesis output to render the plurality of text strings with contrastive stress assigned to the identified first portion of the first text string, but not to the identified second portion of the first text string; and

generating, using the speech synthesis output, an audio speech output corresponding to the desired speech output.

22. The method of claim 21, wherein the at least one software module is configured to identify the first portion of the first text string as differing from the corresponding first portion of the second text string based at least in part on a normalized orthography of the first and second text strings.

23. The method of claim 21, wherein the first and second text strings represent different numerical fields within a larger text string.

24. The method of claim 23, wherein the numerical fields are selected from the group consisting of:

currency fields, date fields, digit sequence fields, number fields, fractional number fields, ordinal number fields, telephone number fields, flight number fields, street number fields, time fields, and zipcode fields.

25. The method of claim 21, wherein the inputting comprises passing the first and second text strings as first and second parameters to a function called by the speech-enabled application to render the first and second text strings with a contrastive stress pattern.

26. The method of claim 21, wherein the speech synthesis output comprises identification of a plurality of audio recordings to render the plurality of text strings as speech, at least one of the plurality of audio recordings being selected to render the first portion of the first text string as speech carrying contrastive stress.