System for adapting speech recognition vocabulary

• US 9,779,722 B2
• Filed: 11/05/2013
• Issued: 10/03/2017
• Est. Priority Date: 11/05/2013
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Hecht, Ron M., Tsimhoni, Omer, Grost, Timothy J.
• Primary Examiner(s): Desir, Pierre-Louis
• Assistant Examiner(s): Shin, Seong Ah A
• Application Number:
  US14/072,679
• Publication Number:
  US 20150127326A1
• Time in Patent Office: 1,428 Days
• Field of Search: 704 1- 10
• CPC Class Codes: G06F 40/00 Handling natural language data speech analysis or synthesis, speech recognition G10L
• CPC Class Codes: G06F 40/242 Dictionaries
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30
• CPC Class Codes: G06F 40/58 Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
• CPC Class Codes: G10L 15/065 Adaptation
• CPC Class Codes: G10L 15/07 to the speaker
• CPC Class Codes: G10L 2015/0635 updating or merging of old and new templates; Mean values; Weighting

Abstract

A system and method for adapting a speech recognition and generation system. The system and method include providing a speech recognition and generation engine that processes speech received from a user and providing a dictionary adaptation module that adds out of vocabulary words to a baseline dictionary of the speech recognition and generation system. Words are added by extracting words that are encountered and adding out of vocabulary words to the baseline dictionary of the speech recognition and generation system.

Claims

1. A method for adapting a speech recognition and generation system, said method comprising:

providing a speech recognition and generation engine that processes speech received from a user;

providing a dictionary adaptation module that adds words to a baseline dictionary of the speech recognition and generation system by extracting words and adding out of vocabulary words to the baseline dictionary of the speech recognition and generation system; and

comparing words from an incoming message with sets of word groups in the dictionary and adding new groups of words that are not in the dictionary, said new groups of words being from a list of new words that are related to the words from the incoming message and predefined based on a subject of a message exchange that includes the incoming message, and where the out of vocabulary words are only added for conversations between a sender and a receiver of the incoming message that have used the extracted words a predetermined number of times.

2. The method according to claim 1 wherein the dictionary adaptation module uses past incoming messages and the identity of a person or system the user of the speech recognition and generation system is communicating with to extract and add out of vocabulary words to the dictionary of the speech recognition and generation system.

3. The method according to claim 1 wherein the dictionary adaptation module uses search results from a user'"'"'s internet search query to add out of vocabulary words to the dictionary of the speech recognition and generation system.

4. The method according to claim 1 wherein the dictionary adaptation module searches for out of vocabulary words and names in social network statuses that are associated with the user'"'"'s social network status.

5. The method according to claim 1 wherein the added words are available for use when dictating outgoing messages.

6. The method according to claim 1 further comprising tagging words that are likely to be confused with other words such that the words are added to the dictionary sparingly.

7. A controls unit for adapting a speech recognition and generation system, said controls unit comprising:

a speech recognition and generation engine that processes speech received from a user; and

a dictionary adaptation module that extracts words or classes of words during communication, said module adding out of vocabulary words or classes of out of vocabulary words to a baseline dictionary of the speech recognition and generation system in a predetermined manner, including comparing words from an incoming message with sets of word groups in the dictionary and adding new groups of words from a list of new words that are related to the words from the incoming message that are not in the dictionary, said list of new words being predefined based on a subject of a message exchange that includes the incoming message, where the out of vocabulary words are only added for conversations between a sender and a receiver of the incoming message that have used the extracted words a predetermined number of times.

8. The controls unit according to claim 7 wherein the dictionary adaptation module uses past incoming messages and the identity of a person or system that the user of the speech recognition and generation system is communicating with to add out of vocabulary words to the baseline dictionary of the speech recognition and generation system.

9. The controls unit according to claim 7 wherein the dictionary adaptation module uses search results from a user'"'"'s internet search query to add out of vocabulary words to the dictionary of the speech recognition and generation system.

10. The controls unit according to claim 7 wherein the dictionary adaptation module searches for out of vocabulary words and names in social network statuses that are associated with the user'"'"'s social network status.

11. The controls unit according to claim 7 wherein the added words are available for use when dictating outgoing messages.

12. The controls unit according to claim 7 further comprising tagging words that are likely to be confused with other words such that the words are added to the dictionary sparingly.

13. A controls unit for adapting a speech recognition and generation system, said controls unit comprising:

a speech recognition or generation engine that determines words uttered by a user to create a message; and

a dictionary adaptation module that extracts words or classes of words that are encountered in a message to the user, said module adding out of vocabulary words or the classes of out of vocabulary words in a predetermined manner, further comprising comparing words from the incoming message with sets of related word groups in the dictionary and adding a list of new words to the dictionary that are related to the words from the incoming message, said list of new words being predefined based on a subject of a message exchange that includes the incoming message, wherein the out of vocabulary words may be tagged such that the out of vocabulary words are added to a dictionary of the speech recognition and generation engine only after the extracted words have been used between a sender and a receiver a predetermined number of times, and wherein the out of vocabulary words are only added for conversations between the sender and the receiver that have used the extracted words the predetermined number of times.

14. The controls unit according to claim 13 wherein the dictionary adaptation module uses past incoming messages and the identity of a person or system that the user of the speech recognition and generation system is communicating with to add out of vocabulary words to the baseline dictionary of the speech recognition and generation system.

15. The controls unit according to claim 13 wherein the added words are available for use when dictating outgoing messages.

16. The controls unit according to claim 13 wherein the dictionary adaptation module uses search results from a user'"'"'s internet search query to add out of vocabulary words to the dictionary of the speech recognition and generation system.

17. The controls unit according to claim 13 wherein the dictionary adaptation module searches for out of vocabulary words and names in social network statuses that are associated with the user'"'"'s social network status.