Abstract: One general aspect includes a vehicle including: a passenger compartment for a user; a sensor located in the passenger compartment, the sensor configured to obtain a speech request from the user; a memory configured to store a specific intent for the speech request; and a processor configured to at least facilitate: obtaining a speech request from the user; attempting to classify the specific intent for the speech request via a voice assistant; determining the voice assistant cannot classify the specific intent from the speech request; after determining the voice assistant cannot classify the specific intent, interpreting the specific intent via one or more natural language processing (NLP) methodologies; implementing the voice assistant to fulfill the speech request or accessing one or more personal assistants to fulfill the speech request or some combination thereof, after the one or more NLP methodologies has interpreted the specific intent.

Abstract: One general aspect includes a method including: obtaining, via a sensor, a wake-up-word from a user; obtaining, via a memory, wake-up-word language data pertaining to the respective language of the wake-up-word; identifying, via a processor, the language of the wake-up-word; identifying a selected voice assistant, from the plurality of different voice assistants, having language skills that are most appropriate for the wake-up-word, based on the wake-up-word language data; and facilitating communication with the selected voice assistant to provide assistance in the language in accordance with the wake-up-word. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

Abstract: Methods and systems are provided for processing speech for an autonomous or semi-autonomous vehicle. In one embodiment, a method includes receiving, by a processor, context data generated by the vehicle; determining, by a processor, a dialog delivery method based on the context data; and selectively generating, by a processor, a dialog prompt to the user via at least one output device based on the dialog delivery method.

Abstract: Systems and processes for implementation at an autonomous-driving vehicle of transportation. exemplary processes include obtaining, by a tangible human-machine interface, an autonomous-vehicle-passenger communication, and obtaining, by a hardware-based processing unit, context data comprising learned-passenger data based on prior activity of an autonomous-vehicle-passenger. Processes also include determining, based on the autonomous-vehicle-passenger communication and the context data, at least one of (i) an appropriate autonomous-driving function, (ii) appropriate assistance to provide to the autonomous-vehicle-passenger, and (iii) appropriate information to provide to the autonomous-vehicle-passenger.

Abstract: Methods and systems are provided for processing speech for a vehicle having at least one autonomous vehicle system. In one embodiment, a method includes: receiving, by a processor, context data generated by an autonomous vehicle system; receiving, by a processor, a speech utterance from a user interacting with the vehicle; processing, by a processor, the speech utterance based on the context data; and selectively communicating, by a processor, at least one of a dialog prompt to the user and a control action to the autonomous vehicle system based on the context data.