Implementations are directed to determining an audio delay, of a computing device, by causing an audio data stream to be transmitted to the computing device via a wireless communication channel. The computing device causes audio output generated using the audio data stream to be rendered via speaker(s). The rendered audio output is captured via microphone(s), and the audio delay determined by comparing the captured audio output with the audio data stream. A delay audio segment can be appended to an additional audio data stream transmitted to the computing device, where the length of the delay audio segment is determined using the audio delay. A noise reduction technique can additionally or alternatively be adapted based on the audio delay. Implementations are additionally or alternatively directed to determining if an audio data stream transmitted to a computing device for rendering through speaker(s) driven by the computing device—is actually being rendered.

It is disclosed a voice pickup method and apparatus for an intelligent rearview mirror, an electronic device and a computer readable storage medium which relates to the technical field of vehicle-mounted equipment, and may be used in the field of automatic driving technologies. A voice pickup implementation of the intelligent rearview mirror according to some embodiments includes: acquiring an image of the interior of the vehicle; determining the position of a person in the vehicle with the image of the interior of the vehicle; and adjusting a beamforming direction of a microphone array according to the position of the person in the vehicle.

An information processing device of an embodiment includes a determiner configured to determine priority of metadata on the basis of an importance level indicating a degree of importance a user to each of a plurality of pieces of content and an amount of information of the metadata that is attached to each of the plurality of pieces of content and a notifier configured to notify the user of the metadata on the basis of the priority determined by the determiner.

Methods and systems for determining an emotion of a human driver of a vehicle and using the emotion for generating a vehicle response, is provided. One example method includes processing captured voice data from the human driver over a period of time while the human driver operates the vehicle. The method includes analyzing the voice data to assist in prediction of the emotion of the human driver. The method includes generating the vehicle response. The vehicle response is selected in part based on the emotion that was predicted for the human driver.

A recording system for a motor vehicle includes a communication interface receiving an audio feed from a telephone. A voice recognition module is communicatively coupled to the communication interface and responds to a command from a human user by converting at least a portion of the audio feed from the telephone into text data, and storing the text data in a memory device.

An armrest storage box assembly has an armrest box body comprising a first storage space having a first opening, and an armrest connected to the armrest box body, the armrest moving between a first closed position and a first open position to open and close the first opening. The armrest comprises an armrest body, comprising a second storage space having a second opening, and a cover connected to the armrest body, the cover moving between a second closed position at which the second opening is closed and a second open position at which the second opening is opened to open and close the second opening.

This invention includes an autonomous driving system for automobiles, comprising: one or more common electronic communication ports of autonomous driving (communication ports) that are built-in on the automobiles; and one or more universal autonomous driving portable controllers (portable controllers) that are to be plugged-in to the said communication ports that are built-in on the automobiles. The interfaces of the communication ports and the portable controllers are both standardized such that the portable controllers can be plugged-in universally to all of the automobiles that are equipped with the built-in communication ports. The communication ports comprise electronic communication of all relevant electronic control units (ECUs) and feedback information of the automobiles, dedicated for the said portable controllers to communicate with and to control the automobiles. In addition to the portable controllers, the communication ports comprise a buffer that is designed to execute a short duration of controls to make emergency stops, in case of loss of connection with the portable controllers due to accidents or other failure conditions. The portable controllers comprise a central control unit (CCU), and a plurality of sensors and processors, and a plurality of data storages, and a plurality of data links, and a Global Positioning System (GPS). The portable controllers have standardized interfaces that match with that of the communication ports. The invention disclosed herein enables all automobiles to be ready for autonomous driving with minimal cost, provided that the said communication ports are adapted to the automobiles. The said portable controllers integrate all the hardware and software relevant to autonomous driving as standalone devices which can share the components, simplify the systems, reduce parasitic material and components, and most importantly, will be safer when multiple sensors and processors that are based on different physics are grouped together to detect objects and environment conditions. A method of compound sensor clustering (CSC) is introduced herein. The CSC method makes the sensors and processors to self-organize and to address real-world driving conditions. The portable controllers can be mass-produced as standard consumer electronics at lower cost. The portable controllers can also be more easily updated with the latest technologies since that they are standalone devices, which would be otherwise hard to achieve when the hardware and software are built-in permanently as part of the automobiles. The invention disclosed herein is more efficient, since that the portable controllers can be plugged-in to the automobiles when th

One or more presence sensors of a vehicle are used to detect the presence of one or more people outside the vehicle. When the presence of the one or more people outside the vehicle is detected, one or more external microphones of the vehicle are used to capture any speech by people. A speech recognizer of the vehicle is used to determine whether the captured speech includes a verbal request for emergency services. And, upon determining that the captured speech includes the verbal request for emergency services, a network access device of the vehicle is used to automatically request emergency services.

Implementations are directed to causing a computing device to transmit an audio data stream, via a communication channel, to a vehicle computing device of a vehicle. Various implementations include one or more vehicle speakers driven by the vehicle computing device to render audible output. Additionally or alternatively, various implementations include determining whether the audible output is captured by at least one microphone of a vehicle interface device within the vehicle. In many implementations, the vehicle interface device is communicatively coupled to the computing device.

A vehicle and a control method thereof includes a microphone to which a speech command of a user is input; a communication module configured to receive contact data and contact history data from a mobile device; at least one memory configured to store a first speech recognition database, obtained based on the contact history data received from the mobile device, and a second speech recognition database obtained based on the contact data received from the mobile device; and at least one processor configured to, when a speech command for calling or texting is input to the microphone, determine a final recipient or generate a recipient candidate list, based on recipient information included in the speech command, the stored first speech recognition database, and the stored second speech recognition database.