SYSTEM AND METHOD OF UTILIZING A HYBRID SEMANTIC MODEL FOR SPEECH RECOGNITION

1 . A system, comprising:

a network interface configured to receive a speech input in connection with a call;

a speech input conversion component configured to:

transform at least a segment of the speech input into a first textual format;

generate a first list of entries based, at least partially, on consideration of the first textual format, the first list comprising at least one action having a corresponding confidence level and at least one object having another corresponding confidence level;

select an entry of the first list having a higher corresponding confidence level;

output a second textual format;

generate a second list based, at least partially on consideration of the selected entry and the second textual format; and

a routing module configured to suggest a routing option for the call based on the selected entry and an associated pairing entry in the second list.

2 . The system of claim 1 , wherein the speech input conversion component is further configured to re-process the speech input to create an object list when an action is the selected entry.

3 . The system of claim 1 , wherein the speech input conversion component is further configured to re-process the speech input to create an action list when an object is the selected entry.

4 . The system of claim 2 , wherein the speech input conversion component is further configured to:

include an associated confidence level with an object entry in the object list; and

select an object as the pairing entry based on the associated confidence level.

5 . The system of claim 3 , wherein the speech input conversion component is further configured to:

re-process the speech input to produce the action list with confidence levels; and

select an action based on the confidence levels in the action list.

6 . The system of claim 1 , wherein the speech input conversion component is further configured to compare the first textual format to a list of word strings and to assign a probability to at least one word string included in the list of word strings.

7 . The system of claim 6 , wherein the speech input conversion component is further configured to assign an appropriate confidence level to the at least one word string.

8 . The system of claim 1 , wherein the entry selected is one of a verb and an adverb-verb combination.

9 . The system of claim 1 , wherein the entry selected is one of a noun or an adjective-noun combination.

10 . The system of claim 1 , wherein the speech input conversion component is further configured to utilize a synonym table to assist in converting the speech input into action and objects.

11 . A method, comprising:

receiving a speech input in connection with a call;

processing the speech input to generate a first action list and an object list;

assigning a first confidence level to each action of the first action list and to each object of the object list;

selecting a particular object with a high confidence level from the object list; and

removing at least one action from the first action list, wherein the at least one action is inconsistent with the particular object.

12 . The method of claim 11 , further comprising assigning a second confidence level to each remaining action of the first action list based on the particular object.

13 . The method of claim 12 , further comprising:

re-processing the speech input to generate a second action list;

assigning a second confidence level to each action of the second action list;

selecting a particular action with a high confidence level from the second action list; and

suggesting a routing option for the call based on the particular action and the particular object.

14 . The method of claim 13 , further comprising routing the call to a destination.

15 . The method of claim 13 , wherein the first confidence level and the second confidence level are assigned based on a predetermined likelihood of reflecting an intent of a caller.

16 . A method, comprising:

receiving a speech input in connection with a call;

processing the speech input to generate a first object list and an action list;

assigning a first confidence level to each object of the first object list and to each action of the action list;

selecting a particular action with a high confidence level from the action list; and

removing at least one object from the first object list, wherein the at least one object is inconsistent with the particular action.

17 . The method of claim 16 , further comprising assigning a second confidence level to each remaining object of the first object list based on the particular action.

18 . The method of claim 17 , further comprising:

re-processing the speech input to generate a second object list;

assigning a second confidence level to each object of the second object list; and

selecting a particular object with a high confidence level from the second object list;

suggesting a routing option for the call based on the particular action and the particular object.

19 . The method of claim 18 , further comprising routing the call to a destination.

20 . The method of claim 16 , wherein the first confidence level and the second confidence level are assigned based on a predetermined likelihood of reflecting an intent of a caller.