Polyphone network method and apparatus

• US 7,319,958 B2
• Filed: 02/13/2003
• Issued: 01/15/2008
• Est. Priority Date: 02/13/2003
• Status: Active Grant

• Current Assignee: Google Technology Holdings LLC (Alphabet Inc.)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: Talley, Jim, Melnar, Lynette, Liu, Chen, Wei, Yuan-Jun
• Primary Examiner(s): Azad; Abul K.
• Application Number:
  US10/365,820
• Publication Number:
  US 20040176078A1
• Time in Patent Office: 1,797 Days
• Field of Search: 704/251, 704/254, 704/277
• US Class Current: 704/254
• CPC Class Codes: G10L 2015/025 Phonemes, fenemes or fenones being the recognition units
• CPC Class Codes: H04M 2201/40 using speech recognition speech recognition per se G10L15/00
• CPC Class Codes: H04M 2201/60 Medium conversion
• CPC Class Codes: H04M 2203/2061 Language aspects
• CPC Class Codes: H04M 3/42 Systems providing special services or facilities to subscribers specially adapted for wireless communication networks H04W4/00

Abstract

Acoustic phones (preferably drawn 12 from a plurality of spoken languages) are provided 11. A hierarchically-organized polyphone network (20) organizes views of these phones of varying resolution and phone categorization as a function, at least in part, of phonetic similarity (14) and at least one language-independent phonological factor (15). In a preferred approach, a unique transcription system serves to represent the phones using only standard, printable ASCII characters, none of which comprises a special character (such as those characters that have a command significance for common script interpreters such as the UNIX command line).

Claims

1. A method to provide a polyphone network, comprising:

selecting a plurality of spoken languages;

identifying at least some phones for each of the plurality of spoken languages;

providing a polyphone network that is a hierarchical phone correspondence network comprising the at least some phones, and that includes a low resolution level of phone information, wherein the phone information of the low resolution level is determined from corresponding higher resolution phone information levels as a function of at least;

articulatorily defined phonetic similarity as between the higher resolution phone information level phones; and

at least one language-independent phonological factor.

2. The method of claim 1, wherein selecting a plurality of spoken languages comprises selecting a plurality of spoken languages that includes at least two languages that are substantially typologically diverse with respect to one another.

3. The method of claim 2, wherein selecting a plurality of spoken languages that includes at least two languages that are substantially typologically diverse with respect to one another includes selecting at least five percent of all currently spoken languages.

4. The method of claim 3 wherein selecting at least five percent of all currently spoken languages includes selecting at least twenty-five percent of all currently spoken languages.

5. The method of claim 1 wherein identifying at least some phones for each of the plurality of spoken languages includes identifying at least some phonemes that are substantially unique to each of at least some of the plurality of spoken languages.

6. The method of claim 5 wherein identifying at least some phonemes that are substantially unique to each of at least some of the plurality of spoken languages includes identifying substantially all unique phonemes for substantially all of the plurality of spoken languages.

7. The method of claim 1 wherein providing a hierarchical phone correspondence network includes organizing merged phone selections in at least one tree.

8. The method of claim 1 wherein providing a hierarchical phone correspondence network includes organizing merged phone selections in at least one binary branching tree.

9. The method of claim 1 wherein providing a polyphone network includes providing a higher resolution view of phone information.

10. The method of claim 9 wherein providing a higher resolution view of phone information includes providing a higher resolution view of phone information wherein at least some of the phone information comprises phonemes for at least some of the plurality of spoken languages.

11. The method of claim 9 wherein providing a polyphone network further includes providing a high resolution view of phone information that is a less high resolution view than the higher resolution view of phone information.

12. The method of claim 9 wherein providing a polyphone network further includes providing a lower resolution view of phone information comprised of phone categories.

13. The method of claim 9 wherein providing a high resolution view of phone information includes providing a binary branching tree hierarchy.

14. The method of claim 13 wherein providing a hierarchical phone correspondence network comprising at least one binary branching tree includes providing a hierarchical phone correspondence network comprising at least one binary branching tree having at least one level of non-merged phones and at least five potential levels of hierarchically merged phone nodes.

15. The method of claim 14 wherein providing a hierarchical phone correspondence network comprising at least one binary branching tree having at least one level of non-merged phones and at least five potential levels of hierarchically merged phone nodes includes providing at least some merged phone nodes that each comprise a merger of a plurality of phone categories, which phone categories are themselves each most representative of a given plurality of phone categories.

16. The apparatus of claim 15 wherein the polyphone network is represented by standard, printable ASCII characters, none of which comprises a special character commonly having a corresponding computer operation command meaning nor to which Unix command line interpreters prescribe special significance, such that the polyphone network only requires a standard font set and substantially avoids programming collisions.

17. The method of claim 1 wherein the at least one language-independent phonological factor comprises at least one of language-independent phonological contrast, cross-linguistic phone frequency, predetermined linguistic tendencies, and predetermined linguistic universals.

18. The method of claim 1 wherein providing a polyphone network includes providing a polyphone network that is substantially unbiased towards any particular language.

19. The method of claim 18 wherein providing a polyphone network includes providing a polyphone network that is substantially unbiased towards any particular language family.

20. The method of claim 19 wherein providing a polyphone network includes providing a polyphone network that is substantially unbiased towards any particular language type.

21. The method of claim 1 wherein identifying at least some phones for each of the plurality of spoken languages includes representing the phones using a transcription system that comprises only standard, printable ASCII characters, none of which comprise a special character commonly having a corresponding computer operation command meaning nor to which Unix command line interpreters prescribe special significance, such that the transcription system characters only require a standard font set and substantially avoid programming collisions.

22. The method of claim 1 where identifying at least some phones includes representing the phones using a transcription system that comprises only standard, printable ASCII characters, none of which comprise a special character commonly having a corresponding computer operation command meaning nor to which Unix command line interpreters prescribe special significance, such that the transcription system characters only require a standard font set and substantially avoid programming collisions.

23. An apparatus comprising:

a speech recognition engine;

a memory operable coupled to the speech recognition engine and containing a set of models selected as a function, at least in part, of a polyphone network that is a hierarchical phone correspondence network comprised of a plurality of phones, which phones correspond to phones as used in a plurality of spoken languages and wherein relationships between the phones at lower resolution levels are represented hierarchically by nodes that correspond to merged phones from higher resolution levels, wherein merging of the phones to form the nodes is based, at least in part, upon articulatory phonetic similarity as between the phones and at least one language-independent phonological factor.

24. The apparatus of claim 23 wherein the apparatus comprises a wireless communications device.

25. The apparatus of claim 23 wherein the wireless communications device comprises a two-way wireless communications device.