At&t Intellectual Property I, L.p.

At&t Mobility Ii LLC

Nuance Communications, Inc.

Dimitrios Dimitriadis

Horst Juergen Schroeter

Donald John Bowen

Lusheng Ji

Mazin E Gilbert

Taniya Mishra

Enrico Bocchieri

Patrick Guy Haffner

Sumit Chopra

John Crockett

Diane Kearns

Eric Martin Zavesky

Diamantino Antonio Caseiro

Matthew Burlick

Methods, apparatuses and media for providing content upon request are provided. A search request for content is received from a user. A first filter is applied to the search request to modify the search request before a search algorithm searches for the content to return in response to the search request. Items of content are determined based on the search request to which the first filter is applied. A second filter is applied to the items of content to determine search results. The search results are provided to the user.

Smart interactive media content guide

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.

Exploiting visual information for enhancing audio signals via source separation and beamforming

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.

Pre-distortion system for cancellation of nonlinear distortion in mobile devices

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.

Acoustic environment recognizer for optimal speech processing

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.

Method and apparatus for processing commands directed to a media center

Disclosed herein are systems, methods, and computer-readable storage devices for processing audio signals. An example system configured to practice the method receives audio at a device to be transmitted to a remote speech processing system. The system analyzes one of noise conditions, need for an enhanced speech quality, and network load to yield an analysis. Based on the analysis, the system determines to bypass user-defined options for enhancing audio for speech processing. Then, based on the analysis, the system can modify an audio transmission parameter used to transmit the audio from the device to the remote speech processing system. The audio transmission parameter can be one of an amount of coding, a chosen codec, or a number of audio channels, for example.

System and method for network bandwidth management for adjusting audio quality

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.

Self-organized acoustic signal cancellation over a network

A system that incorporates teachings of the subject disclosure may include, for example, a method for controlling a steering of a plurality of cameras to identify a plurality of potential sources, identifying the plurality of potential sources according to image data provided by the plurality of cameras, assigning a beam of a plurality of beams of a plurality of microphones to each of the plurality of potential sources, detecting a first command comprising one of a first audible cue based on signals from a portion of the plurality of microphones, a first visual cue based on image data from one of the plurality of cameras, or both for controlling a media center, and configuring the media center according to the first command. Other embodiments are disclosed.

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.

Acoustic enhancement by leveraging metadata to mitigate the impact of noisy environments

A system and method for processing speech includes receiving a first information stream associated with speech, the first information stream comprising micro-modulation features and receiving a second information stream associated with the speech, the second information stream comprising features. The method includes combining, via a non-linear multilayer perceptron, the first information stream and the second information stream to yield a third information stream. The system performs automatic speech recognition on the third information stream. The third information stream can also be used for training HMMs.

System and method of using neural transforms of robust audio features for speech processing

Television content is provided upon request. A search request for television content is received from a user on a user device. Listings for television content that meet the search request are determined based on the search request. Text describing the listings is converted to corresponding speech describing the listings. Speech describing the listings is provided audibly.

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.

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Rutherford, NJ, United States of America

Dimitrios Dimitriadis