Speech recognition system

• US 20070156405A1
• Filed: 11/21/2006
• Published: 07/05/2007
• Est. Priority Date: 05/21/2004
• Status: Abandoned Application

• Current Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Original Assignee: Nuance Communications, Inc. (Microsoft Corporation)
• Inventors: Schwarz, Markus, Gerl, Franz, Schulz, Matthias, Jeschke, Barbel, Kosmala, Andreas
• Application Number:
  US11/603,265
• Publication Number:
  US 20070156405A1
• Time in Patent Office: Days
• US Class Current: 704/255
• 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
• CPC Class Codes: G10L 15/063 Training
• CPC Class Codes: G10L 2015/0631 Creating reference templates; Clustering

Abstract

A speech recognition system receives digital data. The system determines whether a memory contains some or all of the digital data. When some or all of the digital data does not exist in the memory, the system generates a transcription of the missing parts and stores the missing portion and a corresponding transcription in the memory.

Claims

1. A method of generating a speech recognizer vocabulary, comprising:

receiving digital data;

searching the digital data automatically in a predetermined dictionary; and

transcribing the digital data phonetically when the dictionary does not contain a matching entry,

where the dictionary comprises a phonetic transcription for each entry.

2. The method of claim 1, where the act of searching the digital data comprises decomposing the digital data into a data fragment according to one or more predetermined categories and performing a comparison with data stored in the dictionary.

3. The method of claim 2, where the act of decomposing the digital data into a data fragment comprises separating the digital data into a component comprising letters.

4. The method of claim 2, where the act of decomposing the digital data into a data fragment comprises separating the digital data into a component comprising numbers.

5. The method of claim 2, where the act of decomposing the digital data into a data fragment comprises separating the digital data into a component comprising special characters.

6. The method of claim 1, where the act of transcribing the digital data phonetically comprises determining according to a predetermined criterion whether to phonetically transcribe a part of the received digital data in spelled form, in pronounced form, or in a combination of spelled and pronounced form.

7. The method of claim 1, where the act of transcribing the digital data phonetically comprises storing in a memory the data fragment in spelled form when the data fragment consists of only consonants.

8. The method of claim 1, where the act of receiving digital data comprises receiving digital data through a wireless protocol.

9. The method of claim 1, where the act of receiving digital data is in response to a request for digital data.

10. The method of claim 1, where the digital data comprises a name.

11. The method of claim 1, where the dictionary further comprises a synonym for at least one dictionary entry.

12. A signal-bearing medium having software that generates a speech recognizer vocabulary in response to receiving digital data, comprising:

to searching for the digital data in an electronic dictionary; and

transcribing the digital data phonetically when the dictionary does not contain a matching entry.

13. A speech recognition system, comprising:

a speech recognizer that recognizes speech input;

an interface configured to receive digital data;

a memory configured to store one or more digital data entries and a corresponding phonetic data

means for searching the memory to determine if a received digital data exists in the memory;

means for transcribing the received digital data phonetically when the received digital data is not present in the memory.

14. The speech recognition system of claim 13, where the means for searching is configured to decompose the digital data into data fragments according to predetermined categories and to search the memory for a corresponding entry.

15. The speech recognition system of claim 14, where the means for searching is configured to decompose the digital data into data fragments consisting of letters.

16. The speech recognition system of claim 14, where the means for searching is configured to decompose the digital data into fragments consisting of numbers.

17. The speech recognition system of claim 14, where the means for searching is configured to decompose the digital data into fragments consisting of special characters.

18. The speech recognition system of claim 13, where the means for transcribing the received digital data phonetically is configured to determine according to a predetermined criterion whether to transcribe a part of the received digital data in spelled form, in pronounced form, or a combination of spelled and pronounced form.

19. The speech recognition system of claim 18, where the means for transcribing the received digital data phonetically is configured to transcribe in spelled form each letter of a part of the received digital data solely consisting of consonants.

20. The speech recognition system of claim 13, where the interface is configured to automatically request digital data.

21. The speech recognition system of claim 13, where the interface is configure to upload digital data from a name database.

22. The speech recognition system of claim 13, where the dictionary further comprises an abbreviation for at least one memory entry.