TEXT AND SPEECH RECOGNITION SYSTEM USING NAVIGATION INFORMATION

• US 20100191520A1
• Filed: 01/25/2010
• Published: 07/29/2010
• Est. Priority Date: 01/23/2009
• Status: Active Grant

• Current Assignee: Harman Becker Automotive Systems GmbH (Samsung Electronics Co. Ltd.)
• Original Assignee: Harman Becker Automotive Systems GmbH (Samsung Electronics Co. Ltd.)
• Inventors: Riechert, Andreas Marcel, Gruhn, Rainer
• Granted Patent: US 8,340,958 B2
• Time in Patent Office: Days
• US Class Current: 704/9
• CPC Class Codes: G06F 3/0237 using prediction or retrieval techniques
• CPC Class Codes: G10L 2015/228 of application context

Abstract

A system and method are provided for recognizing a user'"'"'s speech input. The method includes the steps for detecting the user'"'"'s speech input, recognizing the user'"'"'s speech input by comparing the speech input to a list of entries using language model statistics to determine the most likely entry matching the user'"'"'s speech input, and detecting navigation information of a trip to a predetermined destination, where the most likely entry is determined by modifying the language model statistics taking into account the navigation information. A system and method is further provided that takes into account navigation trip information to determine the most likely entry using language model statistics for recognizing text input.

Claims

1. A method for recognizing a user'"'"'s speech input comprising the following steps:

detecting the user'"'"'s speech input;

recognizing the user'"'"'s speech input by comparing the speech input to a list of entries using language model statistics to determine the most likely entry best matching the user'"'"'s speech input;

detecting navigation information of a trip to a predetermined destination, where the most likely entry is determined by modifying the language model statistics taking into account the navigation information.

2. The method of claim 1, where the language model statistics indicate a likelihood of the different entries in the list of entries, where the likelihood of a list entry contained in the navigation information is increased.

3. The method of claim 1, further comprising the step of detecting whether the destination information is contained in the list of entries, where, if the navigation information is not contained in the list of entries, said navigation information is added to the list of entries as a new entry, where the likelihood of said new entry is set higher than an average likelihood of the entries in the list of entries.

4. The method of claim 1, where the navigation information contains at least one of the following information:

a starting location of the trip, a destination location of the trip, via points of the trip, the current position, an overall travel time of the trip, the current travel time of the trip, an expected arrival time.

5. The method of claim 1, further comprising the steps of:

detecting a current infotainment status;

determining list entries relating to said current infotainment status; and

increasing the likelihood of said infotainment-related list entries.

6. A method for supporting a text input in an input unit, the method comprising the steps of:

detecting at least a first part of the text input;

recognizing the text input by comparing said at least first part of the text input to a list of entries based on language model statistics in order to suggest a most likely candidate of a completed text input;

detecting navigation information of a trip to a predetermined destination, where the most likely candidate is determined by modifying the language model statistics taking into account the navigation information, and

suggesting said most likely candidate of a completed text input to a user of the input unit.

7. The method of claim 6, where the language model statistics indicate a likelihood of the different entries in the list of entries, where the likelihood of a list entry contained in the navigation information is increased.

8. The method of claim 6, further comprising the step of detecting whether the destination information is contained in the list of entries, where, if the navigation information is not contained in the list of entries, said navigation information is added to the list of entries as a new entry, where the likelihood of said new entry is set higher than an average likelihood of the entries in the list of entries.

9. The method of claim 6, where the navigation information contains at least one of the following information:

a starting location of the trip, a destination location of the trip, via points of the trip, the current position, an overall travel time of the trip, the current travel time of the trip, an expected arrival time.

10. The method of claim 6, further comprising the steps of:

detecting a current infotainment status;

determining list entries relating to said current infotainment status; and

increasing the likelihood of said infotainment-related list entries.

11. The method of claim 6, further comprising the step of recognizing said first part of the text input using the navigation information when the first part of the text input is not unambiguous.

12. The method of claim 6, where the text input is input into the input unit in a hand-written form, where the text input is recognized taking into account the navigation information.

13. The method of claim 6, where the text is input in a phonetic representation and the complete text input is detected, where the phonetic representation is converted to different expressions having substantially the same phonetic representation, the most likely expression being selected taking into account the navigation information.

14. A speech recognition system recognizing a user'"'"'s speech input, comprising:

a speech detector detecting a user'"'"'s speech input;

a speech recognition unit recognizing the user'"'"'s speech input by comparing the speech input to a list of entries using language model statistics in order to determine the most likely entry best matching the user'"'"'s speech input;

a navigation unit providing navigation information of a trip to a predetermined destination, where the recognition unit determines the most likely entry by modifying the language model statistics taking into account the navigation information.

15. A system for supporting a text input comprising:

an input unit for inputting the text input;

a text recognition unit recognizing the text input by comparing at least a first part of the text input to a list of entries based on language model statistics in order to suggest a most likely candidate of a completed text input;

a navigation unit providing navigation information of a trip to a predetermined destination, where the text recognition unit determines the most likely candidate by modifying the language model statistics taking into account the navigation information and suggests said most likely candidate of a completed text input to a user of the system.