Abstract:
Methods and systems are provided for adapting a speech system. In one example a method includes: processing a spoken command with one or more models of one or more model types to achieve model results; evaluating a frequency of the model results; and selectively updating the one or more models of the one or more model types based on the evaluating.
Abstract:
A method for speech recognition includes generating a speech prompt, receiving a spoken utterance from a user in response to the speech prompt, wherein the spoken utterance includes a speech artifact, and compensating for the speech artifact. Compensating for the speech artifact may include, for example, utilizing a recognition grammar that includes the speech artifact as a speech component, or modifying the spoken utterance to eliminate the speech artifact.
Abstract:
Methods and systems are provided for a speech system of a vehicle. In one embodiment, the method includes: generating an utterance signature from a speech utterance received from a user of the speech system without a specific need for a user identification interaction; developing a user signature for a user based on the utterance signature; and managing a dialog with the user based on the user signature.
Abstract:
Adaptation methods and systems are provided for a speech system of a vehicle. In one embodiment a method comprises: receiving speech data; determining a speech pace based on the speech data; determining a user model based on the speech pace; and generating adaptation parameters for at least one of a speech recognition system and a dialog manager based on the user model.
Abstract:
Methods and systems are provided for adapting a speech system of a vehicle. In one example a method includes: logging data from the vehicle; logging speech data from the speech system; processing the data from the vehicle and the data from the speech system to determine a pattern of context and a relation to user interaction behavior; and selectively updating a user profile of the speech system based on the pattern of context.
Abstract:
Methods and systems are provided for managing speech dialog of a speech system. In one embodiment, a method includes: receiving at least one first utterance from a user of the speech system; determining a user interaction style based on the at least one first utterance; and generating feedback to the user based on the interaction style.
Abstract:
Methods and systems are provided for adapting a speech system. In one example a method includes: logging speech data from the speech system; processing the speech data for a pattern of a user competence associated with at least one of task requests and interaction behavior; and selectively updating at least one of a system prompt and an interaction sequence based on the user competence.
Abstract:
Methods and systems are provided for adapting a speech system. In one example a method includes: logging speech data from the speech system; detecting a user characteristic from the speech data; and selectively updating a language model based on the user characteristic.