SYSTEM AND METHOD FOR RECOGNITION AND AUTOMATIC CORRECTION OF VOICE COMMANDS

1 . A method comprising:

receiving a set of utterance data, the set of utterance data corresponding to a voice command spoken by a speaker;

performing a first-level speech recognition analysis on the set of utterance data to produce a first result, the first-level speech recognition analysis including generating a confidence value associated with the first result, the first-level speech recognition analysis also including determining if the set of utterance data is a repeat utterance corresponding to as previously received set of utterance data;

performing a second-level speech recognition analysis on the set of utterance data to produce a second result, if the confidence value associated with the first result does not meet or exceed a pre-configured threshold or if the set of utterance data is a repeat utterance; and

matching the set of utterance data to a voice command and returning information indicative of the matching voice command without returning information that is the same as previously returned information if the set of utterance data is a repeat utterance.

2 . The method as claimed in claim 1 wherein the set of utterance data is received via a vehicle subsystem of a vehicle, the vehicle subsystem comprising an electronic in-vehicle infotainment (IVI) system installed in the vehicle, or a mobile device proximately located in or near the vehicle.

3 . The method as claimed in claim 1 wherein producing the first result includes performing a search of a database to attempt to match the received set of utterance data to any of a plurality of sample voice commands stored in the database.

4 . The method as claimed in claim 3 wherein the sample voice commands stored in the database include a typical or acceptable audio signature corresponding to a particular valid system command with an associated command code or command identifier.

5 . The method as claimed in claim 3 wherein the confidence value corresponding to a likelihood that the received set of utterance data matches a corresponding sample voice command of the plurality of sample voice commands.

6 . The method as claimed in claim 3 wherein any of the plurality of sample voice commands stored in the database can be dynamically updated or modified from a local or remote source.

7 . The method as claimed in claim 1 wherein the second-level speech recognition analysis comprises a deeper level or different process of voice recognition analysis relative to the first-level speech recognition analysis.

8 . The method as claimed in claim 1 wherein the second-level speech recognition analysis includes submitting the received set of utterance data to each of a plurality of utterance processing modules to analyze the received set of utterance data from a plurality of perspectives.

9 . The method as claimed in claim 8 wherein the plurality of utterance processing modules include at least one from the group consisting of: an utterance processing module configured to focus on specific characteristics of the particular speaker; an utterance processing module configured to focus on a context in which the received set of utterance data is spoken; and an utterance processing module configured to focus a context of the speaker.

10 . The method as claimed in claim 1 further including using ancillary data obtained from a local or remote source to modify the operation of the first-level and the second-level speech recognition analysis.

11 . The method as claimed in claim 1 further including presenting a plurality of result options to a user for selection if the confidence value associated with the first result does not meet or exceed a pre-configured threshold and the received set of utterance data is determined to not be a repeat utterance.

12 . A system comprising:

a data processor;

a voice interface, in data communication with the data processor, to receive a set of utterance data; and

a voice command recognition and auto-correction module being configured to:

receive the set of utterance data via the voice interface, the set of utterance data corresponding to a voice command spoken by a speaker;

perform a first-level speech recognition analysis on the set of utterance data to produce a first result, the first-level speech recognition analysis being further configured to generate a confidence value associated with the first result, the first-level speech recognition analysis also including determining if the set of utterance data is a repeat utterance corresponding to a previously received set of utterance data;

perform a second-level speech recognition analysis on the set of utterance data to produce a second result, if the confidence value associated with the first result does not meet or exceed a pre-configured threshold or if the set of utterance data is a repeat utterance; and

match the set of utterance data to a voice command and return information indicative of the matching voice command without returning information that is the same as previously returned information if the set of utterance data is a repeat utterance.

13 . The system as claimed in claim 12 wherein the voice interface is part of a vehicle subsystem comprising an electronic in-vehicle infotainment (IVI) system installed in a vehicle, or a mobile device proximately located in or near the vehicle.

14 . The system as claimed in claim 12 being further configured to perform a search of a database to attempt to match the received set of utterance data to any of a plurality of sample voice commands stored in the database.

15 . The system as claimed in claim 14 wherein the sample voice commands stored in the database include a typical or acceptable audio signature corresponding to a particular valid system command with an associated command code or command identifier.

16 . The system as claimed in claim 14 wherein the confidence value corresponding to a likelihood that the received set of utterance data matches a corresponding sample voice command of the plurality of sample voice commands.

17 . The system as claimed in claim 14 wherein any of the plurality of sample voice commands stored in the database can be dynamically updated or modified from a local or remote source.

18 . The system as claimed in claim 12 wherein the second-level speech recognition analysis being further configured to submit the received set of utterance data to each of a plurality of utterance processing modules to analyze the received set of utterance data from a plurality of perspectives, the plurality of utterance processing modules including at least one from the group consisting of: an utterance processing module configured to focus on specific characteristics of the particular speaker; an utterance processing module configured to focus on a context in which the received set of utterance data is spoken; and an utterance processing module configured to focus a context of the speaker.

19 . The system as claimed in claim 12 being further configured to use ancillary data obtained from a local or remote source to modify the operation of the first-level and the second-level speech recognition analysis.

20 . The system as claimed in claim 12 being further configured to present a plurality of result options to a user for selection if the confidence value associated with the first result does not meet or exceed a pre-configured threshold and the received set of utterance data is determined to not be a repeat utterance.

21 . A non-transitory machine-useable storage medium embodying instructions which, when executed by a machine, cause the machine to:

receive a set of utterance data, the set of utterance data corresponding to a voice command spoken by a speaker;

perform a first-level speech recognition analysis on the set of utterance data to produce a first result, the first-level speech recognition analysis being further configured to generate a confidence value associated with the first result, the first-level speech recognition analysis also including determining if the set of utterance data is a repeat utterance corresponding to a previously received set of utterance data;

perform a second-level speech recognition analysis on the set of utterance data to produce a second result, if the confidence value associated with the first result does not meet or exceed a pre-configured threshold or if the set of utterance data is a repeat utterance; and

match the set of utterance data to a voice command and return information indicative of the matching voice command without returning information that is the same as previously returned information if the set of utterance data is a repeat utterance.

22 . The machine-useable storage medium as claimed in claim 21 wherein the set of utterance data is received via a vehicle subsystem of a vehicle, the vehicle subsystem comprising an electronic in-vehicle infotainment (IVI) system installed in the vehicle, or a mobile device proximately located in or near the vehicle.