Abstract: An article, such as a vehicle seat, includes a one-piece vehicle head restraint structure that defines a frame and a plurality of receptacles. There are metallic resonators disposed in the receptacles. Polymeric dampers line the receptacles and circumscribe the metallic resonators.

Abstract: An article, such as a vehicle seat, includes a one-piece vehicle head restraint structure that defines a frame and a plurality of receptacles. There are metallic resonators disposed in the receptacles. Polymeric dampers line the receptacles and circumscribe the metallic resonators.

Abstract: A headrest assembly includes a headrest bun having an interior portion. A support armature includes a portion thereof disposed within the interior portion of the headrest bun. A support member includes a lattice matrix comprised of a plurality of interconnected links. The support member is supported within the interior portion of the headrest bun by the support armature. A receptacle is operably coupled to the lattice matrix of the support member within the interior portion of the headrest bun and includes an interior cavity. A weighted insert is removeably received within the interior cavity of the receptacle.

Abstract: Method and apparatus are disclosed for accelerometer-based external sound monitoring for voice controlled autonomous parking. An example vehicle includes a body control module, an infotainment head unit, and an autonomy unit. The example body control module communicatively couples to a mobile device. The example infotainment head unit communicatively couples to an accelerometer mounted on a window of the vehicle. The example autonomy unit autonomously parks the vehicle in response to a first key word detected by the accelerometer when (i) a button is activated on the infotainment head unit and (ii) a message from the mobile device is being periodically received.

Abstract: Method and apparatus are disclosed for monitoring of vehicle window vibrations for voice-command recognition. An example vehicle includes a window, an outer layer, a vibration sensor coupled to the window to detect audio vibrations, an audio actuator coupled to the outer layer to vibrate the outer layer, and a controller. The controller is to detect a voice command from a user via the vibration sensor, identify an audio response based upon the voice command, and emit the audio response to the user via the audio actuator.

Abstract: Method and apparatus are disclosed for speech recognition for vehicle voice commands. An example vehicle includes a microphone to collect a signal including a voice command, memory, and a controller. The controller is configured to determine an initial identification by feeding the signal into a first automatic speech recognition (ASR) engine and determine habits by feeding user history into a habits engine. The controller also is configured to identify the voice command by feeding the signal, the initial identification, and the habits into a second ASR engine. The controller also is configured to perform a vehicle function based on the voice command.

Abstract: Method and apparatus are disclosed for accelerometer-based external sound monitoring for position aware autonomous parking. An example vehicle includes accelerometers mounted on windows of the vehicle, a computing platform communicatively coupled to the accelerometers, and an autonomy unit. The computing platform receives, via the accelerometers, signals indicative of a stop command associated with a voice. Additionally, the computing platform validates the stop command when the voice either is authorized or originates from within an emergency zone. The autonomy unit prevents autonomous motion of the vehicle in response to receiving the validated stop command.

Abstract: Method and apparatus are disclosed for accelerometer-based external sound monitoring for voice controlled autonomous parking. An example vehicle includes a body control module, an infotainment head unit, and an autonomy unit. The example body control module communicatively couples to a mobile device. The example infotainment head unit communicatively couples to an accelerometer mounted on a window of the vehicle. The example autonomy unit autonomously parks the vehicle in response to a first key word detected by the accelerometer when (i) a button is activated on the infotainment head unit and (ii) a message from the mobile device is being periodically received.

Abstract: Method and apparatus are disclosed for accelerometer-based external sound monitoring for voice controlled autonomous parking. An example vehicle includes a body control module, an infotainment head unit, and an autonomy unit. The example body control module communicatively couples to a mobile device. The example infotainment head unit communicatively couples to an accelerometer mounted on a window of the vehicle. The example autonomy unit autonomously parks the vehicle in response to a first key word detected by the accelerometer when (i) a button is activated on the infotainment head unit and (ii) a message from the mobile device is being periodically received.

Abstract: Method and apparatus are disclosed for accelerometer-based external sound monitoring during low speed maneuvers. An example vehicle includes accelerometers affixed to windows of the vehicle, speakers located inside the vehicle, and an infotainment head unit. Each of the speakers is uniquely associated with one of the accelerometers. The infotainment head unit, when a speed of the vehicle satisfies a threshold, selects a zone corresponding to a direction of travel of the vehicle. Additionally, the infotainment head unit plays signals captured by the accelerometers associated with the selected zone on the corresponding speakers.

Abstract: Method and apparatus are disclosed for monitoring of vehicle window vibrations for voice-command recognition. An example vehicle includes a window, an outer layer, a vibration sensor coupled to the window to detect audio vibrations, an audio actuator coupled to the outer layer to vibrate the outer layer, and a controller. The controller is to detect a voice command from a user via the vibration sensor, identify an audio response based upon the voice command, and emit the audio response to the user via the audio actuator.

Abstract: Method and apparatus are disclosed for speech recognition for vehicle voice commands. An example vehicle includes a microphone to collect a signal including a voice command, memory, and a controller. The controller is configured to determine an initial identification by feeding the signal into a first automatic speech recognition (ASR) engine and determine habits by feeding user history into a habits engine. The controller also is configured to identify the voice command by feeding the signal, the initial identification, and the habits into a second ASR engine. The controller also is configured to perform a vehicle function based on the voice command.

Abstract: Method and apparatus are disclosed for monitoring of vehicle window vibrations for voice-command recognition. An example vehicle includes a window, an outer layer, a vibration sensor coupled to the window to detect audio vibrations, an audio actuator coupled to the outer layer to vibrate the outer layer, and a controller. The controller is to detect a voice command from a user via the vibration sensor, identify an audio response based upon the voice command, and emit the audio response to the user via the audio actuator.

Abstract: A processor of a vehicle speech recognition system recognizes speech via domain-specific language and acoustic models. The processor further, in response to the acoustic model having a confidence score for recognized speech falling within a predetermined range defined relative to a confidence score for the domain-specific language model, recognizes speech via the acoustic model only.

Abstract: Method and apparatus are disclosed for dialect and language recognition for speech detection in vehicles. An example vehicle includes a microphone, a communication module, memory storing acoustic models for speech recognition, and a controller. The controller is to collect an audio signal that includes a voice command and identify a dialect of the voice command by applying the audio signal to a deep neural network. The controller also is to download, upon determining the dialect does not correspond with any of the acoustic models, a selected acoustic model for the dialect from a remote server via the communication module.

Abstract: Method and apparatus are disclosed for accelerometer-based external sound monitoring for position aware autonomous parking. An example vehicle includes accelerometers mounted on windows of the vehicle, a computing platform communicatively coupled to the accelerometers, and an autonomy unit. The computing platform receives, via the accelerometers, signals indicative of a stop command associated with a voice. Additionally, the computing platform validates the stop command when the voice either is authorized or originates from within an emergency zone. The autonomy unit prevents autonomous motion of the vehicle in response to receiving the validated stop command.

Abstract: An automatic speech recognition system for a vehicle includes a controller configured to select an acoustic model from a library of acoustic models based on ambient noise in a cabin of the vehicle and operating parameters of the vehicle. The controller is further configured to apply the selected acoustic model to noisy speech to improve recognition of the speech.

Abstract: Method and apparatus are disclosed for monitoring of vehicle window vibrations for voice-command recognition. An example vehicle includes a window, an outer layer, a vibration sensor coupled to the window to detect audio vibrations, an audio actuator coupled to the outer layer to vibrate the outer layer, and a controller. The controller is to detect a voice command from a user via the vibration sensor, identify an audio response based upon the voice command, and emit the audio response to the user via the audio actuator.

Abstract: Method and apparatus are disclosed for accelerometer-based external sound monitoring for voice controlled autonomous parking. An example vehicle includes a body control module, an infotainment head unit, and an autonomy unit. The example body control module communicatively couples to a mobile device. The example infotainment head unit communicatively couples to an accelerometer mounted on a window of the vehicle. The example autonomy unit autonomously parks the vehicle in response to a first key word detected by the accelerometer when (i) a button is activated on the infotainment head unit and (ii) a message from the mobile device is being periodically received.

Abstract: Method and apparatus are disclosed for accelerometer-based external sound monitoring during low speed maneuvers. An example vehicle includes accelerometers affixed to windows of the vehicle, speakers located inside the vehicle, and an infotainment head unit. Each of the speakers is uniquely associated with one of the accelerometers. The infotainment head unit, when a speed of the vehicle satisfies a threshold, selects a zone corresponding to a direction of travel of the vehicle. Additionally, the infotainment head unit plays signals captured by the accelerometers associated with the selected zone on the corresponding speakers.