The present disclosure relates to a method and a device for recognizing speech in a vehicle. The method for recognizing the speech in the vehicle may include collecting one or more types of information, determining information to be linked with each other for speech recognition based on an information processing priority predefined corresponding to each type of the collected information, analyzing the determined information to perform the speech recognition for a signal input through a microphone, and extracting at least one of a wake up voice or a command voice through the speech recognition to control the vehicle. Therefore, the present disclosure has an advantage of more accurately performing the speech recognition by linking collected various information in the vehicle with each other.

The present disclosure relates to a method and a device for recognizing speech in a vehicle. The method for recognizing the speech in the vehicle may include collecting one or more types of information, determining information to be linked with each other for speech recognition based on an information processing priority predefined corresponding to each type of the collected information, analyzing the determined information to perform the speech recognition for a signal input through a microphone, and extracting at least one of a wake up voice or a command voice through the speech recognition to control the vehicle. Therefore, the present disclosure has an advantage of more accurately performing the speech recognition by linking collected various information in the vehicle with each other.

Techniques are described in which sensor data is used to determine one or more of background noise or occupancy associated with a passenger cabin of a vehicle. The sensor data, in turn, is used to determine an operating state for one or more components of the vehicle (e.g., pumps, compressors, fans, blowers, etc.) such that an amount of background noise within the passenger cabin is reduced (e.g., when a passenger/occupant is present). In various examples, the operating state of the component may operate in a different, though louder, state (e.g., higher efficiency, greater power, etc.) when an occupant is not present or proximate the component.

Techniques are described in which sensor data is used to determine one or more of background noise or occupancy associated with a passenger cabin of a vehicle. The sensor data, in turn, is used to determine an operating state for one or more components of the vehicle (e.g., pumps, compressors, fans, blowers, etc.) such that an amount of background noise within the passenger cabin is reduced (e.g., when a passenger/occupant is present). In various examples, the operating state of the component may operate in a different, though louder, state (e.g., higher efficiency, greater power, etc.) when an occupant is not present or proximate the component.

A processing device according to an embodiment includes: a frequency characteristics acquisition unit configured to acquire frequency characteristics of at least one sound pickup signal; a smoothing processing unit configured to perform smoothing processing so as to generate second spectral data smoother than first spectral data based on the frequency characteristics; a first compression unit configured to calculate a first difference value corresponding to a difference between the second spectral data and the first spectral data in a first band, and to compress the second spectral data based on the first difference value; and a filter generation unit configured to generate a filter, based on the second spectral data.

A processing device according to an embodiment includes: a frequency characteristics acquisition unit configured to acquire frequency characteristics of at least one sound pickup signal; a smoothing processing unit configured to perform smoothing processing so as to generate second spectral data smoother than first spectral data based on the frequency characteristics; a first compression unit configured to calculate a first difference value corresponding to a difference between the second spectral data and the first spectral data in a first band, and to compress the second spectral data based on the first difference value; and a filter generation unit configured to generate a filter, based on the second spectral data.

This specification describes a method comprising determining whether an estimated position of an audio capture device which captures audio data is within boundaries of a predetermined area, and in response to a determination that the estimated position is not within the boundaries of the predetermined area, associating the captured audio data with an adjusted position.

This specification describes a method comprising determining whether an estimated position of an audio capture device which captures audio data is within boundaries of a predetermined area, and in response to a determination that the estimated position is not within the boundaries of the predetermined area, associating the captured audio data with an adjusted position.

Described herein is a method for creating an object-based audio signal from an audio input, the audio input including one or more audio channels that are recorded to collectively define an audio scene. The one or more audio channels are captured from a respective one or more spatially separated microphones disposed in a stable spatial configuration. The method includes the steps of: a) receiving the audio input; b) performing spatial analysis on the one or more audio channels to identify one or more audio objects within the audio scene; c) determining contextual information relating to the one or more audio objects; d) defining respective audio streams including audio data relating to at least one of the identified one or more audio objects; and e) outputting an object-based audio signal including the audio streams and the contextual information.

Described herein is a method for creating an object-based audio signal from an audio input, the audio input including one or more audio channels that are recorded to collectively define an audio scene. The one or more audio channels are captured from a respective one or more spatially separated microphones disposed in a stable spatial configuration. The method includes the steps of: a) receiving the audio input; b) performing spatial analysis on the one or more audio channels to identify one or more audio objects within the audio scene; c) determining contextual information relating to the one or more audio objects; d) defining respective audio streams including audio data relating to at least one of the identified one or more audio objects; and e) outputting an object-based audio signal including the audio streams and the contextual information.