Arrangement for speech recognition

• US 20050267755A1
• Filed: 05/27/2004
• Published: 12/01/2005
• Est. Priority Date: 05/27/2004
• Status: Abandoned Application

• Current Assignee: Nokia Solutions and Networks US LLC (Nokia Corporation)
• Original Assignee: Nokia Corporation
• Inventors: Suontausta, Janne
• Application Number:
  US10/855,801
• Publication Number:
  US 20050267755A1
• Time in Patent Office: Days
• US Class Current: 704/254
• CPC Class Codes: G10L 15/06 Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice G10L15/14 takes precedence
• CPC Class Codes: G10L 15/187 Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams

Abstract

A speech recognizer comprises a random access memory, a downloader for loading decision trees from a set of decision trees into said random access memory, a vocabulary comprising one or more words of a language, a divider for dividing at least one word of the vocabulary into subwords, and a transcription generator adapted to process at least one subword. The downloader is adapted to download a subset of the set of decision trees at a time into said random access memory. The transcription generator is further adapted to generate at least one phoneme transcription for the subword using the subset of decision trees. The speech recognizer also comprises a combiner for combining the generated phoneme transcriptions of the subwords to obtain phoneme transcriptions of said one or more words. The invention also relates to a device, a system, a module, a method, a computer program product and a data structure.

Claims

1. A speech recognizer comprising:

a random access memory;

a downloader for loading decision trees from a set of decision trees into said random access memory;

a vocabulary comprising one or more words of a language;

a divider for dividing at least one word of said vocabulary into subwords;

a transcription generator adapted to process at least one subword, wherein the downloader is adapted to download a subset of the set of decision trees at a time into said random access memory, and the transcription generator is further adapted to generate at least one phoneme transcription for said subword using said subset of the decision trees; and

a combiner for combining generated phoneme transcriptions of the subwords to obtain phoneme transcriptions of said one or more words.

2. A device according to claim 1 comprising said transcription generator adapted to generate at least one phoneme transcription for the current subword for those words which contain the current subword.

3. A device according to claim 1 comprising said transcription generator adapted to process the words of the vocabulary subword-by-subword.

4. A device according to claim 1 comprising said transcription generator adapted to examine which words of the vocabulary contain a current subword.

5. A device according to claim 1 comprising said divider adapted to divide said at least one word into subwords.

6. A device according to claim 5 comprising said transcription generator adapted to process the words of the vocabulary subword-by-subword.

7. A device comprising:

a random access memory;

a downloader for loading decision trees from a set of decision trees into said random access memory;

a vocabulary comprising one or more words of a language;

a divider for dividing at least one word of said vocabulary into subwords;

a transcription generator adapted to process at least one subword, wherein the downloader is adapted to download a subset of the set of decision trees at a time into said random access memory, and the transcription generator is further adapted to generate at least one phoneme transcription for said subword using said subset of the decision trees; and

a combiner for combining the generated phoneme transcriptions of the subwords to obtain phoneme transcriptions of said one or more words.

8. A device according to claim 7 comprising said transcription generator adapted to generate at least one phoneme transcription for the current subword for those words which contain the current subword.

9. A device according to claim 7 comprising said transcription generator adapted to process the words of the vocabulary subword-by-subword.

10. A device according to claim 7 comprising said transcription generator adapted to examine which words of the vocabulary contain a current subword.

11. A device according to claim 7 comprising said divider adapted to divide said at least one word intosubwords.

12. A device according to claim 7 comprising a mass memory for storing the decision trees, wherein said downloader is adapted to download the decision trees from said mass memory to said random access memory.

13. A device according to claim 7 comprising a language identifier for identifying a language of a word.

14. A device according to claim 7 comprising a storage for storing the phoneme transcriptions of the words.

15. A device according to claim 9 wherein said combiner is adapted to perform the combining after the transcription generator has performed the subword-by-subword processing of the words of the vocabulary of the language.

16. A device according to claim 15 wherein said combiner is adapted to perform the combining after the transcription generator has performed the subword-by-subword processing of a subset.

17. A device according to claim 7 wherein said transcription generator is adapted to process the words of the vocabulary in at least two subset of words of the vocabulary.

18. A device according to claim 7 comprising a word handler for examining which subwords of the current language exist in the words, wherein transcription generator is adapted to process only those subwords of the current language which exist in at least one of the words.

19. A device according to claim 7 comprising a processor for executing a program which produces information containing one or more words, therein the transcription generator is adapted to produce phoneme information for at least one of the words produced by the program.

20. A wireless communication device comprising:

a random access memory;

a downloader for loading decision trees from a set of decision trees into said random access memory;

a vocabulary comprising one or more words of a language;

a divider for dividing at least one word of said vocabulary into subwords;

a transcription generator adapted to process at least one subword, wherein the downloader is adapted to download a subset of the set of decision trees at a time into said random access memory, and the transcription generator is further adapted to generate at least one phoneme transcription for said subword using said subset of the decision trees; and

a combiner for combining the generated phoneme transcriptions of the subwords to obtain phoneme transcriptions of said one or more words.

21. A system comprising

a server comprising a mass memory for storing a set of decision trees, and a transmitter for transmitting information from the server;

a device comprising

a receiver for receiving information from the server;

a random access memory;

a downloader for loading decision trees from the set of decision trees from said server into said random access memory;

a vocabulary comprising one or more words of a language;

a divider for dividing at least one word of said vocabulary into subwords;

a transcription generator adapted to process at least one subword, wherein the downloader is adapted to download a subset of the set of decision trees at a time into said random access memory, and the transcription generator is further adapted to generate at least one phoneme transcription for said subword using said subset of the decision trees; and

a combiner for combining the generated phoneme transcriptions of the subwords to obtain phoneme transcriptions of said one or more words.

22. A module comprising:

a downloader for loading decision trees from a set of decision trees into a random access memory;

a divider for dividing at least one word of said vocabulary into subwords;

a transcription generator adapted to process at least one subword of a vocabulary, said vocabulary comprising one or more words of a language, wherein the downloader is adapted to download a subset of the set of decision trees at a time into said random access memory, and the transcription generator is further adapted to generate at least one phoneme transcription for said subword using said subset of the decision trees; and

a combiner for combining the generated phoneme transcriptions of the subwords to obtain phoneme transcriptions of said one or more words.

23. A method for generating the phoneme transcriptions of words of a vocabulary of a language comprising:

loading decision trees into a random access memory;

processing at least one subword of a vocabulary, wherein the processing comprising downloading a subset of the set of decision trees at a time into said random access memory, and generating at least one phoneme transcription for said subword using said subset of the decision trees; and

combining the generated phoneme transcriptions of the subwords to obtain phoneme transcriptions of said one or more words.

24. A computer program product for generating the phoneme transcriptions of words of a vocabulary of a language when executed on a processor, the computer program product comprising machine executable steps stored in an addressable memory, the machine executable steps for:

loading decision trees into a random access memory;

processing the words of the vocabulary subword-by-subword, wherein the processing comprising downloading a subset of the set of decision trees at a time into said random access memory, and generating at least one phoneme transciption for said subword using said subset of the decision trees; and

combining the generated phoneme transcriptions of the subwords to obtain phoneme transcriptions of said one or more words.

25. A data structure including words of at least one vocabulary of at least one language for processing subwords of the words of the vocabulary, the data structure comprising:

subword and phoneme definitions;

decision trees for single subwords arranged for random access of the decision trees;

the data of the decision trees comprising information for obtaining phoneme transcriptions from subwords.

26. A data structure according to claim 25 also comprising:

phoneme class definitions;

information on the beginning of single decision trees; and

number of decision trees.

27. A method for producing a data structure including words of at least one vocabulary of at least one language for processing subwords of the words of the vocabulary, the method comprising

obtaining subword and phoneme definitions;

forming decision trees for single subwords on the basis of the phoneme definitions; and

arranging said decision trees for single subwords for random access.

28. A computer program product for producing a data structure including words of at least one vocabulary of at least one language for processing subwords of the words of the vocabulary when executed on a processor, the computer program product, the computer program product comprising machine executable steps stored in an addressable memory, the machine executable steps for:

obtaining subword and phoneme definitions;

forming decision trees for single subwords on the basis of the phoneme definitions; and

arranging said decision trees for single subwords for random access.