Motion adaptive speech recognition for enhanced voice destination entry

A system for motion adaptive speech processing for voice destination entry, the system comprising:

• a motion profile estimator at a client, the estimator configured to estimate a motion profile that is representative of a user's motion dynamically based on data from one or more resources associated with the user, the motion profile being a collection of snap shots of the user's position and motion, the data from the one or more resources including sensor data and data from a non-speech resource associated with the user;
• wherein the motion profile estimator is configured to compute a motion weight vector using the data from the one or more resources associated with the user and to interpolate a plurality of models using the motion weight vector to generate a motion adaptive model, wherein at least one of the models is associated with a geographic area, and wherein the motion profile estimator interpolates the models to produce a probability that the user is or will be located in the geographic area;
• and
• a processor configured to effect processing of a speech signal received from the user, the processing taking into account the estimated motion profile by constraining a search space to user-relevant destinations based on the motion adaptive model to produce an interpretation of the speech signal.

A computer program product comprising a non-transitory computer readable medium storing instructions for performing a method for motion adaptive speech processing for voice destination entry, the instructions, when executed by a processor, cause the processor to:

• dynamically estimate a motion profile that is representative of a user's motion based on data from one or more resources associated with the user, the motion profile being a collection of snap shots of the user's position and motion, the data from the one or more resources including sensor data and data from a non-speech resource associated with the user;
• wherein dynamically estimating the motion profile includes computing a motion weight vector using the data from the one or more resources associated with the user and interpolating a plurality of models using the motion weight vector to generate a motion adaptive model, wherein at least one of the models is associated with a geographic area, and wherein interpolating the models results in a probability that the user is or will be located in the geographic area;
• and
• effect processing of a speech signal received from the user, the processing taking into account the estimated motion profile by constraining a search space to user-relevant destinations based on the motion adaptive model, to produce an interpretation of the speech signal.