1. A method, comprising: receiving a voice input with a voice-enabled electronic device, the voice input including an original request that includes first and second portions, the second portion including a first context sensitive entity among a plurality of context sensitive entities that are associated with a context sensitive parameter and that potentially may be spoken in the voice input; and in the voice-enabled electronic device, and responsive to receiving the first portion of the voice input: performing local processing of the first portion of the voice input to dynamically build at least a portion of a voice action prior to completely receiving the voice input with the voice-enabled electronic device; determining during the local processing whether the voice action is associated with the context sensitive parameter; and in response to a determination that the voice action is associated with the context sensitive parameter and prior to performing local processing of the second portion of the voice input including the first context sensitive entity, initiating a dynamic update to a local voice to text model used by the voice-enabled electronic device prior to completing the voice action to facilitate recognition of the first context sensitive entity.
2. The method of claim 1 , wherein performing the local processing includes: converting a digital audio signal of the voice input to text using a streaming voice to text module of the voice-enabled electronic device, wherein the streaming voice to text module dynamically generates a plurality of text tokens from the digital audio signal; and dynamically building the portion of the voice action from at least a portion of the plurality of text tokens using a streaming semantic processor of the voice-enabled electronic device.