Abstract:
A system that incorporates teachings of the subject disclosure may include, for example, a method that identifies first and second gestures of first and second viewers in a proximity of a media center and associates the first and second gestures with first and second command A conflict is determined between the first and second commands and in response a notification is provided via the media center. The notification requests a resolution to the conflict. A cue is detected from a viewer responsive to the presenting of the notification. The cue identifies a selected one of the first viewer or the second viewer and control of the media center is assigned to one of the first viewer or the second viewer responsive to the cue. Other embodiments are disclosed.
Abstract:
A system for sensor enhanced speech recognition is disclosed. The system may obtain visual content or other content associated with a user and an environment of the user. Additionally, the system may obtain, from the visual content, metadata associated with the user and the environment of the user. The system may also include determining, based on the visual content and metadata, if the user is speaking. If the user is determined to be speaking, the system may obtain audio content associated with the user and the environment. The system may then adapt, based on the visual content, audio content, and metadata, one or more acoustic models that match the user and the environment. Once the one or more acoustic models are adapted and loaded, the system may enhance a speech recognition process or other process associated with the user.
Abstract:
A system for exploiting visual information for enhancing audio signals via source separation and beamforming is disclosed. The system may obtain visual content associated with an environment of a user, and may extract, from the visual content, metadata associated with the environment. The system may determine a location of the user based on the extracted metadata. Additionally, the system may load, based on the location, an audio profile corresponding to the location of the user. The system may also load a user profile of the user that includes audio data associated with the user. Furthermore, the system may cancel, based on the audio profile and user profile, noise from the environment of the user. Moreover, the system may include adjusting, based on the audio profile and user profile, an audio signal generated by the user so as to enhance the audio signal during a communications session of the user.
Abstract:
A system for exploiting visual information for enhancing audio signals via source separation and beamforming is disclosed. The system may obtain visual content associated with an environment of a user, and may extract, from the visual content, metadata associated with the environment. The system may determine a location of the user based on the extracted metadata. Additionally, the system may load, based on the location, an audio profile corresponding to the location of the user. The system may also load a user profile of the user that includes audio data associated with the user. Furthermore, the system may cancel, based on the audio profile and user profile, noise from the environment of the user. Moreover, the system may include adjusting, based on the audio profile and user profile, an audio signal generated by the user so as to enhance the audio signal during a communications session of the user.
Abstract:
A system for exploiting visual information for enhancing audio signals via source separation and beamforming is disclosed. The system may obtain visual content associated with an environment of a user, and may extract, from the visual content, metadata associated with the environment. The system may determine a location of the user based on the extracted metadata. Additionally, the system may load, based on the location, an audio profile corresponding to the location of the user. The system may also load a user profile of the user that includes audio data associated with the user. Furthermore, the system may cancel, based on the audio profile and user profile, noise from the environment of the user. Moreover, the system may include adjusting, based on the audio profile and user profile, an audio signal generated by the user so as to enhance the audio signal during a communications session of the user.
Abstract:
A pre-distortion system for improved mobile device communications via cancellation of nonlinear distortion is disclosed. The pre-distortion system may transmit an acoustic signal from a network to a device, wherein the acoustic signal includes a linear signal and a nonlinear cancellation signal that cancels at least a portion of nonlinear distortions created once a loudspeaker in the device emits the linear signal. Thus, when a loudspeaker of a mobile device is operating and nonlinear distortions are generated by the loudspeaker or adjacent components of the mobile device in close proximity to the loudspeaker, the pre-distortion system may create one or more nonlinear cancellation signals in the network. The nonlinear cancellation signal may be combined with the linear signal sent to the loudspeaker to cancel the nonlinear distortion signal created by the loudspeaker emitting acoustic sounds from the linear signal. Thus, the nonlinear cancellation signal becomes a pre-distortion signal.
Abstract:
A system that incorporates teachings of the subject disclosure may include, for example, a method that identifies first and second gestures of first and second viewers in a proximity of a media center and associates the first and second gestures with first and second command A conflict is determined between the first and second commands and in response a notification is provided via the media center. The notification requests a resolution to the conflict. A cue is detected from a viewer responsive to the presenting of the notification. The cue identifies a selected one of the first viewer or the second viewer and control of the media center is assigned to one of the first viewer or the second viewer responsive to the cue. Other embodiments are disclosed.
Abstract:
A system for exploiting visual information for enhancing audio signals via source separation and beamforming is disclosed. The system may obtain visual content associated with an environment of a user, and may extract, from the visual content, metadata associated with the environment. The system may determine a location of the user based on the extracted metadata. Additionally, the system may load, based on the location, an audio profile corresponding to the location of the user. The system may also load a user profile of the user that includes audio data associated with the user. Furthermore, the system may cancel, based on the audio profile and user profile, noise from the environment of the user. Moreover, the system may include adjusting, based on the audio profile and user profile, an audio signal generated by the user so as to enhance the audio signal during a communications session of the user.
Abstract:
A system for sensor enhanced speech recognition is disclosed. The system may obtain visual content or other content associated with a user and an environment of the user. Additionally, the system may obtain, from the visual content, metadata associated with the user and the environment of the user. The system may also include determining, based on the visual content and metadata, if the user is speaking. If the user is determined to be speaking, the system may obtain audio content associated with the user and the environment. The system may then adapt, based on the visual content, audio content, and metadata, one or more acoustic models that match the user and the environment. Once the one or more acoustic models are adapted and loaded, the system may enhance a speech recognition process or other process associated with the user.
Abstract:
A pre-distortion system for improved mobile device communications via cancellation of nonlinear distortion is disclosed. The pre-distortion system may transmit an acoustic signal from a network to a device, wherein the acoustic signal includes a linear signal and a nonlinear cancellation signal that cancels at least a portion of nonlinear distortions created once a loudspeaker in the device emits the linear signal. Thus, when a loudspeaker of a mobile device is operating and nonlinear distortions are generated by the loudspeaker or adjacent components of the mobile device in close proximity to the loudspeaker, the pre-distortion system may create one or more nonlinear cancellation signals in the network. The nonlinear cancellation signal may be combined with the linear signal sent to the loudspeaker to cancel the nonlinear distortion signal created by the loudspeaker emitting acoustic sounds from the linear signal. Thus, the nonlinear cancellation signal becomes a pre-distortion signal.