The present disclosure provides a method for denoising voice data, an electronic device, and a computer readable storage medium. The present disclosure relates to the technical field of artificial intelligence, such as Internet of Vehicles, smart cockpit, smart voice, and voice recognition. A specific embodiment of the method includes: receiving an input to-be-played first piece of voice data; and invoking, in response to not detecting a synthetic voice interruption signal in a process of playing the first piece of voice data, a preset first denoising algorithm to filter out noise data except for the first piece of voice data.

The disclosure provides a method for testing a vehicle-mounted voice device, an electronic device and a storage medium. The method includes: obtaining a test corpus and a data label corresponding to the test corpus; parsing the test corpus based on the data label corresponding to the test corpus to obtain audio data corresponding to each channel included in the test corpus; adjusting a working mode of each playback channel in a voice playback device based on the audio data corresponding to each channel included in the test corpus, to play the audio data corresponding to the test corpus; obtaining a recognition result of a vehicle-mounted voice device; and determining a performance of the vehicle-mounted voice device based on the recognition result and the data label.

Aspects of the present disclosure involve projecting an interactive scene onto a surface from a projecting object. In one particular embodiment, the interactive scene is projected from a vehicle and may be utilized by the vehicle to provide a scene or image that a user may interact with through various gestures detected by the system. In addition, the interactive scene may be customized to one or more preferences determined by the system, such as user preferences, system preferences, or preferences obtained through feedback from similar systems. Based on one or more user inputs (such as user gestures received at the system), the projected scene may be altered or new scenes may be projected. In addition, control over some aspects of the vehicle (such as unlocking of doors, starting of the motor, etc.) may be controlled through the interactive scene and the detected gestures of the users.

A vehicle control and interconnection system comprises a vehicle interconnection component and a supervisory controller. The vehicle interconnection component communicably couples to a portable electronic processing device and to native electronic peripherals of a corresponding vehicle, including a display. The supervisory controller provides control information to at least one native electronic peripheral to implement a customized vehicle configuration such that a corresponding peripheral or group of peripherals respond to control commands from the vehicle interconnection component in a coordinated manner. Also, the portable electronic processing device is programmed via a software download to implement a user interface that interacts with the display of the corresponding vehicle to provide information to the vehicle operator where at least part of the processing is carried out on the portable electronic processing device. Yet further, software modifications are wirelessly received via a transceiver and are processed through the vehicle interconnection component.

Implementations relate to enabling of authorization of certain automated assistant functions via one or more modalities available within a vehicle. Implementations can eliminate wasting of computational and communication resources by at least allowing other users to authorize execution of certain input commands from a user, without requesting the user to re-submit the commands. The vehicle can include a computing device that provides access to restricted data, which can be accessed in order for an action to be performed by the automated assistant. However, when a restricted user requests that the automated assistant perform an action involving accessing the restricted data, the automated assistant can be authorized or unauthorized to proceed with fulfilling the request via a modality controlled by an unrestricted user. The unrestricted user can also cause contextual restrictions to be established for limiting functionality of the automated assistant during a trip, for certain types of requests, and/or for certain passengers.

A vehicle-mounted device operation system, includes: an operating part that is located in a vehicle cabin, and configured to be subjected to operation for manually operating a vehicle-mounted device; a sound collector that is located in the vehicle cabin, and configured to collect speech of an occupant; and a processor configured to determine whether a command to the vehicle-mounted device is included in a content of the speech of the occupant collected by the sound collector, activate the vehicle-mounted device according to the command, when the processor determines that the command to the vehicle-mounted device is included in the content of the speech of the occupant, and highlight the operating part for the vehicle-mounted device activated by the processor.

A method for rideshare personalization may include identifying one or more unmet needs among a set of needs of a user during a ride of a vehicle based on data from a sensor of the vehicle, updating a user profile of the user to include the one or more unmet needs in association with a set of contextual data related to the ride, and providing services associated with the one or more unmet needs to the user during another ride based on the updated user profile and the set of contextual data related to the another ride.

A method of performing a voice wake-up in multiple speech zones is provided, which relates to a field of artificial intelligence, in particular to fields of speech technology, natural language processing, speech interaction, etc., and may be used in Internet of vehicles, autonomous driving, and other scenarios. A specific implementation scheme includes: acquiring N channels of audio signals, wherein each channel of audio signal corresponds to one of N speech zones; inputting, based on a corresponding relationship between the N channels of audio signals and N synchronous audio processing threads in a wake-up engine, each channel of audio signal into a corresponding audio processing thread; and determining, in response to a thread with a wake-up result occurring in the N synchronous audio processing threads, a speech zone corresponding to the thread with the wake-up result as an awakened speech zone in the N speech zones.

A method and apparatus for executing an instruction, an electronic device, a computer readable storage medium, and a computer program product are provided. The method includes receiving a transmitted actual voice instruction; determining a target location where the actual voice instruction is released; acquiring a target valid instruction set corresponding to the target location; and executing an operation corresponding to the actual voice instruction, in response to the actual voice instruction being a target valid instruction in the target valid instruction set.

A method of processing a voice for a vehicle, a device, and a medium are provided, which relate to a field of voice recognition technology. The method of processing a voice for a vehicle includes: separating an initial voice data in response to receiving the initial voice data from a plurality of regions inside the vehicle, so as to obtain a plurality of voice sub-data and a description information for each voice sub-data of the plurality of voice sub-data, the plurality of voice sub-data correspond to the plurality of regions respectively, and the description information for each voice sub-data indicates the region corresponding to the each voice sub-data in the plurality of regions; and determining a voice working mode of the vehicle based on the plurality of voice sub-data.