Smart car operations methods are disclosed to access a car includes detecting when a person is alone in a car, adjusting a speech recognizer in the car to focus capturing speech from the person's position in the car; operating the car as requested by the person; when the person exits the car and enters a building, locking the car based on a personal area network (PAN) secured key; and when the person approaches the car, automatically unlocking the car and providing access to the car based on a set of rules. The PAN may be Bluetooth or Zigbee, among others.

Devices, systems and processes for a dynamic microphone system that enhances the passenger experience in autonomous vehicles are described. One example method for enhancing a passenger experiences includes generating, using an artificial intelligence algorithm, a plurality of filters based on a plurality of stored waveforms previously recorded by each of one or more passengers and a plurality of recordings of one or more noise sources, capturing voice commands from at least one of the one or more passengers inside the autonomous vehicle, generating voice commands with reduced distortion based on processing the voice commands using the plurality of filters, and instructing, based on the voice commands with reduced distortion, the autonomous vehicle to perform one or more actions.

An air-conditioner controller that controls an operation of an air conditioner includes: a storage unit that stores, for each user, voiceprint data that is data indicating a voiceprint of a user and personal data that is data indicating a feature of the user; and a control unit that compares voice data that is data of a user's voice detected in an air-conditioning area that is an area subject to air-conditioning control of the air conditioner with the voiceprint data, and, when there is voiceprint data similar to the voice data, presents a question based on the personal data to identify a user in the air-conditioning area on the basis of an answer acquired from the user in the air-conditioning area.

A vehicle control device includes an electronic control unit. The electronic control unit is configured to execute a command switching process according to the prediction node. In a transition prediction process, a node of the data for prediction corresponding to a current node of a vehicle is set to a start point node based on data for prediction, and at least one of candidate nodes is set to a prediction node specifying a future state of the vehicle. The electronic control unit is configured to execute a command generation process of generating a command for controlling the devices in the vehicle based on a correspondence relationship according to an input operation performed to the input device.

Techniques for dynamic contact ingestion are described. A system may interpret a voice command received from a first device based on contact data or other information associated with a second device connected to the first device. For example, when a data connection is made between the first device and the second device, the first device may receive the contact data and send the contact data to a remote system. The remote system may temporarily associate the contact data with the first device, enabling the remote system to interpret a voice command received from the first device using the contact data. The remote system may use the contact data to perform disambiguation, enabling the remote system to initiate outbound calls, announce inbound calls, and/or the like. When the second device is disconnected from the first device, the remote system may remove the association between the contact data and the first device.

A voice activation system for a vehicle. The voice activation system for a vehicle which has at least one sound panel capable of providing vibrations of a user's voice from the outside of the vehicle into an inside area of the vehicle. A laser listening device is operably connected to the panel for receiving vibrations from a user's voice. A controller receives a pre-identified command of the user from the laser listener and operates an action in the vehicle in response thereto.

A mobile hearable device for communicating with a vehicle control system is described. The mobile hearable device includes a microphone, and a wireless transceiver configured as one of a near field magnetic induction (NFMI) transceiver and a near field electromagnetic induction (NFEMI) transceiver. The mobile hearable device includes a processor coupled to the transceiver and the microphone. The processor receives a location identifier via the transceiver from a location identification transmitter located in a vehicle, the location identification transmitter is configured as one of a NFMI transmitter and a NFEMI transmitter. If the processor receives a speech signal from a user of the mobile hearable device, it determines whether the speech signal includes an actuator control command and generates a control instruction comprising the actuator control command and the location identifier. The control instruction is transmitted to a vehicle control system and used to control an actuator in a vehicle dependent on the location of the person using the mobile hearable device.

Devices, systems and processes for a dynamic microphone system that enhances the passenger experience in autonomous vehicles are described. One example method for enhancing a passenger experiences includes generating, using an artificial intelligence algorithm, a plurality of filters based on a plurality of stored waveforms previously recorded by each of one or more passengers and a plurality of recordings of one or more noise sources, capturing voice commands from at least one of the one or more passengers inside the autonomous vehicle, generating voice commands with reduced distortion based on processing the voice commands using the plurality of filters, and instructing, based on the voice commands with reduced distortion, the autonomous vehicle to perform one or more actions.

Detecting and isolating competing speech for voice controlled systems are provided herein. An example method includes isolating a voice command from a plurality of competing voice sound signals received internally or externally to a vehicle, wherein at least a portion of the plurality of competing voice sound signals are received using a sensor coupled with a window of the vehicle, and processing the voice command by the voice command system.

The present application provides a vehicle-carried system and a control method for vehicle facilities. The vehicle-carried system includes a characteristic information acquisition unit configured to acquire human body characteristic information; a storage unit configured to store pieces of human body characteristic information and pieces of identity information corresponding to the pieces of human body characteristic information; a matching unit configured to match the human body characteristic information acquired by the characteristic information acquisition unit with the pieces of human body characteristic information stored in the storage unit, and determine identity information corresponding to the human body characteristic information acquired by the characteristic information acquisition unit according to a result of the matching; and a control unit configured to control facilities in a vehicle according to the determined identity information.