Abstract: A system for self-organized acoustic signal cancellation over a network is disclosed. The system may transmit an acoustic sounding signal to an interfering device so that a channel measurement may be performed for a channel between the interfering device and an interferee device. The system may receive the channel measurement for the channel from the interfering device and also receive a digitized version of an audio interference signal associated with the interfering device. Based on the channel measurement and the digital version of the interference signal, the system may calculate a cancellation signal prior to the arrival of the original over-the-air audio interference signal that corresponds to the digital version of audio interference signal. The system may then apply the cancellation signal to an audio signal associated with the interferee device to remove the interference signal from the audio signal.

Abstract: A system for cloud acoustic enhancement is disclosed. In particular, the system may leverage metadata and cloud-computing network resources to mitigate the impact of noisy environments that may potentially interfere with user communications. In order to do so, the system may receive an audio stream including an audio signal associated with a user, and determine if the audio stream also includes an interference signal. The system may determine that the audio stream includes the interference signal if a portion of the audio stream correlates with metadata that identifies the interference signal. If the audio stream is determined to include the interference signal, the system may cancel the interference signal from the audio stream by utilizing the metadata and the cloud-computing network resources. Once the interference signal is cancelled, the system may transmit the audio stream including the audio signal associated with the user to an intended destination.

Abstract: A system for providing an acoustic environment recognizer for optimal speech processing is disclosed. In particular, the system may utilize metadata obtained from various acoustic environments to assist in suppressing ambient noise interfering with a desired audio signal. In order to do so, the system may receive an audio stream including an audio signal associated with a user and including ambient noise obtained from an acoustic environment of the user. The system may obtain first metadata associated with the ambient noise, and may determine if the first metadata corresponds to second metadata in a profile for the acoustic environment. If the first metadata corresponds to the second metadata, the system may select a processing scheme for suppressing the ambient noise from the audio stream, and process the audio stream using the processing scheme. Once the audio stream is processed, the system may provide the audio stream to a destination.

Abstract: A system for self-organized acoustic signal cancellation over a network is disclosed. The system may transmit an acoustic sounding signal to an interfering device so that a channel measurement may be performed for a channel between the interfering device and an interferee device. The system may receive the channel measurement for the channel from the interfering device and also receive a digitized version of an audio interference signal associated with the interfering device. Based on the channel measurement and the digital version of the interference signal, the system may calculate a cancellation signal prior to the arrival of the original over-the-air audio interference signal that corresponds to the digital version of audio interference signal. The system may then apply the cancellation signal to an audio signal associated with the interferee device to remove the interference signal from the audio signal.

Abstract: Methods, systems, and computer program products provide personalized feedback in a cloud-based environment. A client device routes image data to a server for analysis. The server analyzes the image data to recognize people of interest. Because the server performs image recognition, the client device is relieved of these intensive operations.

Abstract: Methods, systems, and computer program products provide personalized feedback in a cloud-based environment. A client device routes image data and audio data to a server for analysis. The server analyzes the image data to recognize people of interest. The server also analyzes the audio data to generate audible feedback. Because the server performs image recognition and audio processing, the client device is relieved of these intensive operations.

Abstract: Methods, systems, and computer program products provide personalized feedback in a cloud-based environment. A client device routes image data and audio data to a server for analysis. The server analyzes the image data to recognize people of interest. The server also analyzes the audio data to generate audible feedback. Because the server performs image recognition and audio processing, the client device is relieved of these intensive operations.

Abstract: Methods, systems, and computer program products provide voice control of electronic devices. Speech and a beacon signal are received. A directional microphone is aligned to a source of the beacon signal. A voice command in the speech is received and executed.