Abstract: A system for context-based adaptive virtual experience control in a vehicle is provided. The system includes an output device configured for providing a sensory output to a user of the vehicle and a computerized virtual experience control module configured for controlling the output device based upon a virtual experience mode. The system further includes a computerized context-based adaptive control module configured for monitoring contextual data related to one of the user of the vehicle or operation of the vehicle, monitoring feedback from the user related to one of favor or disfavor related to the virtual experience mode, and utilizing the contextual data and the feedback from the user to selectively, automatically command activation of the virtual experience mode.

Abstract: Beverage processing system for filling a beverage into containers with a filler with several filling valves for filling the beverage into the containers, where the filling valves are each configured having a filling device for filling at least two components of the beverage into one of the containers, a capper for closing the container filled with the beverage, and with a conveyor for transporting the containers at least from the filler to the capper, characterised in that the beverage processing system comprises at least one gas analysis device for quality control of the mixed beverage filled into the containers, and in that the at least one gas analysis device each comprises a gas suctioning device for suctioning gas from a head region of the containers filled with the beverage and an analyzer for analyzing the suctioned gas.

Abstract: A system for context-based adaptive virtual experience control in a vehicle is provided. The system includes an output device configured for providing a sensory output to a user of the vehicle and a computerized virtual experience control module configured for controlling the output device based upon a virtual experience mode. The system further includes a computerized context-based adaptive control module configured for monitoring contextual data related to one of the user of the vehicle or operation of the vehicle, monitoring feedback from the user related to one of favor or disfavor related to the virtual experience mode, and utilizing the contextual data and the feedback from the user to selectively, automatically command activation of the virtual experience mode.

Abstract: Beverage processing system for filling a beverage into containers with a filler with several filling valves for filling the beverage into the containers, where the filling valves are each configured having a filling device for filling at least two components of the beverage into one of the containers, a capper for closing the container filled with the beverage, and with a conveyor for transporting the containers at least from the filler to the capper, characterised in that the beverage processing system comprises at least one gas analysis device for quality control of the mixed beverage filled into the containers, and in that the at least one gas analysis device each comprises a gas suctioning device for suctioning gas from a head region of the containers filled with the beverage and an analyzer for analyzing the suctioned gas.

Abstract: A device for filling a container with a filling product includes a filling valve for influencing the supply of the filling product into the container to be filled, generally during the transport, by means of a container transporting device, of the containers to be filled, a dosing valve for dosing a dosing product from a dosing product reservoir into the filling valve, and a main component reservoir for providing a main component at the filling valve. A dosing product changing device is provided for changing the dosing product in the dosing product reservoir during the filling operation.

Abstract: A device for filling a container with a filling product includes a filling valve for influencing the supply of the filling product into the container to be filled, generally during the transport, by means of a container transporting device, of the containers to be filled, a dosing valve for dosing a dosing product from a dosing product reservoir into the filling valve, and a main component reservoir for providing a main component at the filling valve. A dosing product changing device is provided for changing the dosing product in the dosing product reservoir during the filling operation.

Abstract: Examples of techniques text-to-speech pre-processing for speech recognition and speech synthesis are disclosed. In one example implementation, a computer-implemented method includes receiving, by a processing device, an automated speech recognition output comprising an n-best list and associated confidence scores. The method further includes performing, by the processing device, a TTS pre-processing on the n-best list and associated confidence scores to generate a read back message, wherein the read back message comprises a read back instruction. The method further includes sending, by the processing device, the read back message to a TTS speech synthesizer for generating an audible signal based on the read back message to cause an audio device to present the read back message.

Abstract: Examples of techniques text-to-speech pre-processing for speech recognition and speech synthesis are disclosed. In one example implementation, a computer-implemented method includes receiving, by a processing device, an automated speech recognition output comprising an n-best list and associated confidence scores. The method further includes performing, by the processing device, a TTS pre-processing on the n-best list and associated confidence scores to generate a read back message, wherein the read back message comprises a read back instruction. The method further includes sending, by the processing device, the read back message to a TTS speech synthesizer for generating an audible signal based on the read back message to cause an audio device to present the read back message.

Abstract: A method of loading content items for accessibility by a vehicle automatic speech recognition (ASR) system. The method tracks content items requested by one or more users and prioritizes the loading of requested content items and/or selectively loads requested content items at least partially based on the interaction history of one or more users. The method may also adapt the ASR system based on the interaction history of one or more users to make preferred content items readily accessible instead of randomly accessible.

Abstract: A system and method of adapting a speech system includes the steps of: receiving confirmation of a phonetic transcription of one or more names, receiving confirmation of a selected stored text result, and storing the phonetic transcription with the selected stored text result using an automatic speech recognition (ASR) system, a text-to-speech (TTS) system, or both.

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: A system, for determining autonomous-driving-vehicle actions associated with a group of autonomous-driving-vehicle passengers. The system includes an input-interface module that, when executed by a processing unit, obtains, from at least a first autonomous-driving-vehicle passenger of the group of autonomous-driving-vehicle passengers, an autonomous-vehicle-passenger input relating to the group. The system also includes at least one collaboration module. Example collaboration modules include an extra-vehicle-collaboration module that, when executed by the processing unit, determines, based on the autonomous-vehicle-passenger input, an extra-vehicle function to be performed at least in part outside of the vehicle. Another example collaboration module is an intra-vehicle-collaboration module that, when executed by the processing unit, determines, based on the autonomous-vehicle-passenger input, an intra-vehicle function to be performed at the vehicle.

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: A method of loading content items for accessibility by a vehicle automatic speech recognition (ASR) system. The method tracks content items requested by one or more users and prioritizes the loading of requested content items and/or selectively loads requested content items at least partially based on the interaction history of one or more users. The method may also adapt the ASR system based on the interaction history of one or more users to make preferred content items readily accessible instead of randomly accessible.

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 system and method of adapting a speech system includes the steps of: receiving confirmation of a phonetic transcription of one or more names, receiving confirmation of a selected stored text result, and storing the phonetic transcription with the selected stored text result using an automatic speech recognition (ASR) system, a text-to-speech (TTS) system, or both.

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.

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.

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.