Abstract: The present disclosure describes thermal mitigation for an electronic speaker device and associated systems and methods. The thermal mitigation includes monitoring several thermal zones to determine or estimate thermal conditions in corresponding parts of the electronic speaker device. The thermal zones may include a System-on-Chip (SoC) integrated circuit (IC) component, audio components including power-dissipating IC components, and a temperature of an exterior surface of a housing component of the electronic speaker device. To mitigate thermal runaway, different throttling schemes may be triggered based on the thermal zones exceeding certain thermal limits. The throttling schemes may include reducing the amount of power supplied to the SoC, reducing audio power of the audio components to a lower wattage, or manipulating SoC cores such as by disabling one or more of the cores or adjusting utilization of the SoC cores.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a packet from a client, the packet having header information including a destination Internet Protocol (IP) address, a destination port, a source IP address, and a source port, and wherein the source IP address and source port are associated with the client; selecting a destination virtual machine based on the destination port; modifying the packet by replacing the destination IP address in the header information with an IP address of the selected destination virtual machine; and sending the modified packet to the destination virtual machine.

Abstract: Various arrangements are presented for increasing a link margin of a wireless audio link. A short-range wireless communication link having a first physical layer (PHY) symbol rate is established between an audio source device and an audio output device. An audio stream is transmitted using the communication link, which includes a connected isochronous stream (CIS) link. A number of packet retransmissions are detected on the CIS. Based on the detected number of packet retransmissions on the CIS, the first PHY symbol rate of the CIS can be altered to a second PHY symbol rate for transmitting the audio stream.

Abstract: A method includes receiving a training dataset that includes one or more spoken training utterances for training an automatic speech recognition (ASR) model. Each spoken training utterance in the training dataset paired with a corresponding transcription and a corresponding target sequence of auxiliary tokens. For each spoken training utterance, the method includes generating a speech recognition hypothesis for a corresponding spoken training utterance, determining a speech recognition loss based on the speech recognition hypothesis and the corresponding transcription, generating a predicted auxiliary token for the corresponding spoken training utterance, and determining an auxiliary task loss based on the predicted auxiliary token and the corresponding target sequence of auxiliary tokens. The method also includes the ASR model jointly on the speech recognition loss and the auxiliary task loss determined for each spoken training utterance.

Abstract: A method includes a hierarchical dataset that includes a root-data object and data collections nested under the root-data object. Each data collection includes one or more data objects, each data object associated with one or more other data collections. The method also includes displaying a hierarchical user interface on a screen. The hierarchical user interface includes column. The columns include data-object columns and data-collection columns, wherein the columns alternate between data-object columns and data-collection columns. Each data-object column displays a list of the one or more data objects of a respective data collection. Each data-collection column displays a list of the one or more data collections of a respective data object, the data-collection columns includes a root-data-collection column displaying a list of the one or more data collections associated with the root-data object.

Abstract: An indexed sequence of bits in a buffer is allocated for tracking a battery charging state. The indexed sequence of bits has a first number of bits. A battery voltage of a rechargeable battery is sampled at a sampling rate. For each sampled battery voltage, the battery voltage is compared with a voltage threshold. A next bit position in the indexed sequence of bits is identified. In accordance with a determination that a comparison result is true, a predefined first value is added to the next bit position. A second number of bits that are filled with the predefined first value is determined. A ratio between the second number and the first number is also determined. In accordance with a determination that the ratio exceeds a threshold step-down ratio, a battery charge voltage is stepped down. The rechargeable battery is charged to a step-down voltage.

Abstract: In aspects, a base station establishes a wireless connection with a user equipment, UE. The base station determines to include at least a first adaptive phase-changing device, APD, and a second APD in a wireless communication path with the UE. In response to determining to include multiple APDs in the communication path, the base station determines a first surface configuration for a first surface of the first APD and a second surface configuration for a second surface of the second APD. The base station directs the first APD to apply the first surface configuration to the first surface and directs the second APD to apply the second surface configuration to the second surface. The base station and the UE communicate with the UE using wireless transmissions that travel along a wireless communication path that includes the first surface of the first APD and the second surface of the second APD.

Abstract: A method for extracting entities comprises obtaining a document that includes a series of textual fields that includes a plurality of entities. Each entity represents information associated with a predefined category. The method includes generating, using the document, a series of tokens representing the series of textual fields. The method includes generating an entity prompt that includes the series of tokens and one of the plurality of entities and generating a schema prompt that includes a schema associated with the document. The method includes generating a model query that includes the entity prompt and the schema prompt and determining, using an entity extraction model and the model query, a location of the one of the plurality of entities among the series of tokens. The method includes extracting, from the document, the one of the plurality of entities using the location of the one of the plurality of entities.

Abstract: The various implementations described herein include methods and systems for synchronous audio playback. An electronic device can receive an identification of a first device as a common clock device that has a first internal clock being designated as a master clock. The electronic device receives a synchronized audio playback command that includes audio data to be output and a future playback time. In response to receiving the audio data, the device determines a synchronized audio playback time for audio to be output. An optimal time for output can be calculated and transmitted to the server system for future playback time calculations.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for hotword detection on multiple devices are disclosed. In one aspect, a method includes the actions of receiving audio data that corresponds to an utterance. The actions further include determining that the utterance likely includes a particular, predefined hotword. The actions further include transmitting (i) data indicating that the computing device likely received the particular, predefined hotword, (ii) data identifying the computing device, and (iii) data identifying a group of nearby computing devices that includes the computing device. The actions further include receiving an instruction to commence speech recognition processing on the audio data. The actions further include in response to receiving the instruction to commence speech recognition processing on the audio data, processing at least a portion of the audio data using an automated speech recognizer on the computing device.

Abstract: A method includes receiving training data that includes a plurality of sets of text-to-speech (TTS) spoken utterances each associated with a respective language and including TTS utterances of synthetic speech spoken that includes a corresponding reference speech representation paired with a corresponding input text sequence. For each TTS utterance in each set of the TTS spoken training utterances of the received training data, the method includes generating a corresponding TTS encoded textual representation for the corresponding input text sequence, generating a corresponding speech encoding for the corresponding TTS utterance of synthetic speech, generating a shared encoder output, generating a predicted speech representation for the corresponding TTS utterance of synthetic speech, and determining a reconstruction loss. The method also includes training a TTS model based on the reconstruction losses determined for the TTS utterances in each set of the TTS spoken training utterances.

Abstract: A method includes receiving context biasing data that includes a set of unspoken textual utterances corresponding to a particular context. The method also includes obtaining a list of carrier phrases associated with the particular context. For each respective unspoken textual utterance, the method includes generating a corresponding training data pair that includes the respective unspoken textual utterance and a carrier phrase. For each respective training data pair, the method includes tokenizing the respective training data pair into a sequence of sub-word units, generating a first higher order textual feature representation for a corresponding sub-word unit, receiving the first higher order textual feature representation, and generating a first probability distribution over possible text units. The method also includes training a speech recognition model based on the first probability distribution over possible text units.

Abstract: This document describes techniques and apparatuses that enable determining expected hash-values in functions with control flow. A computing device receives a function comprising function instructions within at least three basic blocks connected via multiple execution paths. Hash-input instructions are inserted within a plurality of the basic blocks that indirectly force hash values at the respective insertion points. Hash values at ends of the plurality of the basic blocks are set to a canonical value and an expected hash-value and hash input-values are calculated using a hash function. By using the canonical value and the hash input-values, the expected hash-value is the same regardless of which execution path is executed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a machine learning model that is trained to perform a machine learning task. In one aspect, a method comprises receiving a request to train a machine learning model on a set of training examples; determining a set of one or more meta-data values characterizing the set of training examples; using a mapping function to map the set of meta-data values characterizing the set of training examples to data identifying a particular machine learning model architecture; selecting, using the particular machine learning model architecture, a final machine learning model architecture for performing the machine learning task; and training a machine learning model having the final machine learning model architecture on the set of training examples.

Abstract: A cloud implementation of a persisted storage device, such as a disk, is provided. The implementation supports a variety of features and protocols, in full analogy with a physical storage device such as a disk drive. The present disclosure provides for implementing standard eDrive protocols in the cloud by designing internal disk storage, referred to as a “system area,” in a virtual disk instance that the virtual disk can potentially utilize for a multitude of disk features. This internal storage can be used to implement eDrive protocols, which use the system area to maintain the necessary internal virtual disk state.

Abstract: Generally disclosed herein is a hardware/software interface for asynchronous data movement between an off-core memory and a core-local memory, referred to as “stream transfers”, and a stream ordering model. The stream transfers allow software to more efficiently express common data-movement patterns, specifically ones seen in sparse workloads. Direct stream instructions that belong to a stream are processed in-order. For indirect stream instructions, offset elements in an offset list are processed in order. A sync flag is updated to indicate monotonic incremental progress for the stream.

Abstract: In an implementation, a method includes causing a source application data object to be embedded in a host application file and recording information associated with the source application data object in a common data store. It further includes identifying a modification made to the embedded source application data object, sending a notification to the source application to update a corresponding source copy of the source application data object based on the modification made to the embedded source application data object, and recording the modification in the common data store. The method also includes identifying a change made to the source copy of the source application data object, and causing the host application to update the embedded source application data object in the host application data store according to access permissions of the host application file, and recording the change in the common data store.

Abstract: An automated cargo delivery system is provided, including an automated guided vehicle having a housing defining a recess therein and a propulsion system configured to move the housing. The recess may be configured to receive a plurality of swappable carriers each having a uniform width in a horizontal direction and a uniform height in a vertical direction perpendicular to the horizontal direction. Each of the swappable carriers may be configured to be engaged within the recess. The plurality of swappable carriers may include a first swappable carrier and a second swappable carrier. A method of delivering cargo with the automated guided vehicle is also provided. The method may include alternatingly inserting and engaging the first swappable carrier and the second swappable carrier into the recess of the automated guided vehicle.

Abstract: The disclosed technology provides techniques, systems, and apparatus for proactively detecting, containing, and recovering from uncorrectable memory errors in distributed computing environment. An aspect of the disclosed technology includes scanning, by a scanner of a host machine, memory of the host machine for errors. After the scanner detects an error, the scanner may generate an error notification. The scanner may transmit the error notification to one or more processors of the host machine to implement mitigation techniques.

Abstract: Identity systems, methods, and media for auditing and notifying users concerning verifiable claims are provided.

Abstract: A method includes receiving a code insight request requesting a code insight for target source code. The code insight request includes the target source code and a tool type indicator specifying that the software development tool comprises one of a code labeling type of software development tool or a code transformation type of software development tool. The method also includes obtaining a machine learning model based on the tool type indicator and generating the code insight using the machine learning model. The code insight includes one of a predicted label for the target source code when the tool type indicator specifies that the software development tool comprises the code labeling type of software development tool, or a predicted code transformation for the target source code when the tool type indicator specifies that the software development tool comprises the code transformation type of software building tool.

Abstract: In some implementations, an utterance that requests a voice call is received, the utterance is classified as spoken by a particular known user, the particular known user is determined to be associated with a personal voice number, and in response to determining that the particular known user is associated with a personal voice number, the voice call is initiated with the personal voice number.

Abstract: A method includes receiving, by a first computing device (110) and from a second computing device (118), using a short-range wireless communication unit of the first computing device (110), data including state information of the second computing device (118) and identification information for the second computing device (118). The method also includes, responsive to a distance between the first computing device (110) and the second computing device (118) satisfying a threshold distance, determining a particular template graphical user interface from a plurality of template graphical user interfaces. The method also includes determining one or more operations the second computing device (118) is configured to perform. The method further includes outputting a graphical user interface (114) associated with the remote computing device (118).

Abstract: The present disclosure relates to dynamically scheduling resource requests in a distributed system based on usage quotas. One example method includes identifying usage information for a distributed system including atoms, each atom representing a distinct item used by users of the distributed system; determining that a usage quota associated with the distributed system has been exceeded based on the usage information, the usage quota representing an upper limit for a particular type of usage of the distributed system; receiving a first request for a particular atom requiring invocation of the particular type of usage represented by the usage quota; determining that a second request for a different type of usage of the particular atom is waiting to be processed; and processing the second request for the particular atom before processing the first request.

Abstract: The technology generally relates to automatically associating products and services to be advertised in response to a search query and providing sponsored advertisements for output with the search query results on a publisher's website or mobile application. An ad advertiser may create an ad campaign for products without including or identifying keywords associated with the product. Upon receiving a request for an advertisement, an ad server may generate synonyms, or keywords, for the terms in the request. The ad server generated keywords may be used to identify available products that match, or are relevant to, the search query. The ad server may determine a quality of the match and, based on the quality, determine which products are most relevant to the search query. The ad server may solicit bids from the advertisers of the relevant ad campaigns. The winning ads may be returned to the publisher for output.

Abstract: Generating a prediction block for coding a block includes determining an adaptive intra-prediction mode indicative of at least a training region and a configuration of neighboring pixel locations. The training region neighbors the block and includes a plurality of reconstructed pixels. Filter coefficients are obtained. The filter coefficients are used to obtain respective prediction pixels of neighboring pixels within the training region when applied to defined respective configurations of the neighboring pixels according to the configuration of the neighboring pixels. The filter coefficients minimize a function of differences, each difference being a respective difference between a pixel in the training region and a prediction of that pixel in the training region.

Abstract: A display panel includes a first set of pixels that each include a respective red sub-pixel and a respective green sub-pixel and a second set of pixels that each include a respective blue sub-pixel and a respective green sub-pixel, where the first set of pixels and the second set of pixels are arranged on the display panel such that at least one side of each of the pixels in the first set of pixels is adjacent to at least one of the pixels in the second set of pixels, at least one side of each of the pixels in the first set of pixels is not adjacent to any pixel, and the green sub-pixels are arranged on the display panel such that the green sub-pixels are evenly distributed in the display panel.

Abstract: A system includes a first processor configured to analyze packets received over a communication protocol system and determine one or more congestion indicators from the analysis of the data packets, the one or more congestion indicators being indicative of network congestion for data packets transmitted over a reliable transport protocol layer of the communication protocol system. The system also includes a rate update engine separate from the packet datapath and configured to operate a second processor to receive the determined one or more congestion indicators, determine one or more congestion control parameters for controlling transmission of data packets based on the received one or more congestion indicators, and output a congestion control result based on the determined one or more congestion control parameters.

Abstract: Systems and methods for matching videos to podcast episodes are provided. A data store comprising podcast episode identifiers is accessed. The podcast episode identifiers are associated with one or more podcast episode attributes. A video content item is identified. The video content item includes one or more video content item attributes. A matching podcast episode identifier that matches the video content item is determined based on the one or more podcast episode attributes and the one or more video content item attributes. A ranking of one of the video content item or the matching podcast episode identifier is caused to be adjusted to reflect the correspondence between the video content item and the matching podcast episode identifier. Information associated with the matching podcast episode identifier is provided to a first user device.

Abstract: A content provider can provide content, such as advertisements or other promotional material, to a recipient. A distribution system of the content provider can receive a query and select one or more advertisements and a user interface for presenting the advertisements based on the query, information associated with the user, a set of queries received from the user, and/or other information. A model for selecting the user interface can be generated by serving available user interfaces randomly or pseudo-randomly and monitoring user interaction with the served user interfaces. The model can be updated during regular use based on the performance of the user interfaces.

Abstract: The present disclosure relates generally to the processing of machine-readable visual encodings in view of contextual information. One embodiment of aspects of the present disclosure comprises obtaining image data descriptive of a scene that includes a machine-readable visual encoding; processing the image data with a first recognition system configured to recognize the machine-readable visual encoding; processing the image data with a second, different recognition system configured to recognize a surrounding portion of the scene that surrounds the machine-readable visual encoding; identifying a stored reference associated with the machine-readable visual encoding based at least in part on one or more first outputs generated by the first recognition system based on the image data and based at least in part on one or more second outputs generated by the second recognition system based on the image data; and performing one or more actions responsive to identification of the stored reference.

Abstract: Systems and methods for providing a program listing include storing user profile data and a user identifier for a user; storing an association of the user identifier with user identifiers for each of the plurality of social contacts of the user; receiving program identifier data representing programs currently being viewed by the social contacts; ranking the program identifier data for each of the plurality of social contacts based at least in part on the user profile data; and sending display data representing the program identifier data for display in an order based on the ranking.

Abstract: Users of a communication system can initiate electronic payments during a communication session hosted by the communication system or via a social network identity page hosted by the communication system. The communication system detects a payment signal from a user of the communication system and the collects payment information details either by displaying a payment object interface in a communication application of the user or receiving payment information input directly from the user's communication device. The payment information includes sender and recipient payment account identifiers that are communicated to a payment processing system for processing and delivery of the designated payment amount to the recipient.

Abstract: Systems and methods for recommending media content to a user based on information associated with a referral source that referred the user to a media item provided by a source of the media content are presented. In one or more aspects, a system is provided that includes a presentation component that presents, via user a interface, a first media item associated with a media presentation source referred to a user through a referral source. The system further includes an analytics component that identifies a second media item based on media items associated with the media presentation source that are referred to other users through the referral source, and a recommendation component that recommends the second media item to the user through the user interface.

Abstract: A robotic gripping device is provided. The robotic gripping device includes a palm and a plurality of digits coupled to the palm. The robotic gripping device also includes a time-of-flight sensor arranged on the palm such that the time-of-flight sensor is configured to generate time-of-flight distance data in a direction between the plurality of digits. The robotic gripping device additionally includes an infrared camera, including an infrared illumination source, where the infrared camera is arranged on the palm such that the infrared camera is configured to generate grayscale image data in the direction between the plurality of digits.

Abstract: For each audio pairing broadcast from an electronic device, reporting broadcasted pairing data including: broadcaster device group, broadcast data element, and broadcaster volume setting. For each reception, reporting received pairing data, including: receiver device group, received data element, and received signal score. Matching each received pairing data with zero or one instances of broadcasted pairing data based on a received data element matching the broadcast data element. For each broadcaster reporting a particular group and volume setting, identifying a received signal score value corresponding to a predetermined percentile of a density distribution of such scores matching broadcasters of the particular group. Determining, for each broadcaster of the group, a volume based on: the received signal score corresponding to the predetermined percentile and a reference received signal score.

Abstract: This disclosure relates to adaptive recommendations for user-generated mediasets. A mediaset component provides for users to generate mediasets. A user-generated mediaset can include a user-generated playlist or a user-generated media channel. A monitoring component monitors consumption of media, e.g., by a consumer. A relatedness component determines a set of the user-generated mediasets that are related to the media consumed by the consumer. A recommendation component recommends a subset of the user-generated mediasets based on a set of criteria. A rights management component determines a set of authorizations of the consumer for respective media content associated with the set of user-generated mediasets, and takes at least one action based on the set of authorizations, e.g., updating one of the mediasets based on the set of authorizations.

Abstract: The technology provides for a system for determining wireless charging alignment. In this regard, one or more processors may receive motion data from one or more sensors of a computing device indicating a motion of the computing device. The one or more processors may also receive charging data related to a state of an energy storage of the computing device or a state of energy transfer between a wireless charger and the computing device. Based on the motion data and the charging data, a reference vector associated with at least two charging rates may be determined. An alignment vector between the computing device and the wireless charger may then be determined based on the reference vector and the associated charging rates. Based on the alignment vector, an output may be generated guiding movement of the computing device to align with the wireless charger.

Abstract: A foldable device may include a foldable layer and a hinge subassembly including a hinge mechanism and a sliding mechanism. The hinge mechanism may include a plurality of hinge segments, arranged in a plurality of rows, and with adjacent hinge segments movably coupled by a plurality of joint assemblies, based on a folded configuration and an unfolded configuration of the foldable device. The sliding mechanism may be coupled to the hinge mechanism, to provide for further adjustment of relative positions of the plurality of hinge segments based on the folded and unfolded configuration of the foldable device.

Abstract: The present disclosure provides systems and methods for adjusting the playback speed of accessories based on the buffer level of the received content. The accessories may receive content from a host device at a certain speed. The incoming speed of the content may be different than the playback speed of the content. Therefore, a buffer level of the received content may be determined using a linear least square (“LLS”) fit of the buffer level, the average of the buffer level, or a phased locked loop (“PLL”) approach. Based on a difference between the buffer level and the playback speed, a speed adjustment may be determined. Instructions may be transmitted from a primary accessory to a secondary accessory to adjust the playback speed by a certain amount at a certain time. This may ensure that the accessories remain in sync. The accessories may then adjust their respective playback speeds.

Abstract: Described herein are systems and methods of converting media dimensions. A device may identify a set of frames from a video in a first orientation as belonging to a scene. The device may receive a selected coordinate on a frame of the set of frames for the scene. The device may identify a first region within the frame including a first feature corresponding to the selected coordinate and a second region within the frame including a second feature. The device may generate a first score for the first feature and a second score for the second feature. The first score may be greater than the second score based on the first feature corresponding to the selected coordinate. The device may crop the frame to include the first region and the second region within a predetermined display area comprising a subset of regions of the frame in a second orientation.

Abstract: Processor(s) of a client device can: identify a textual segment stored locally at the client device; process the textual segment, using a speech synthesis model stored locally at the client device, to generate synthesized speech audio data that includes synthesized speech of the identified textual segment; process the synthesized speech, using an on-device speech recognition model that is stored locally at the client device, to generate predicted output; and generate a gradient based on comparing the predicted output to ground truth output that corresponds to the textual segment. In some implementations, the generated gradient is used, by processor(s) of the client device, to update weights of the on-device speech recognition model. In some implementations, the generated gradient is additionally or alternatively transmitted to a remote system for use in remote updating of global weights of a global speech recognition model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating images. In one aspect, a method includes: receiving an input text prompt including a sequence of text tokens in a natural language; processing the input text prompt using a text encoder neural network to generate a set of contextual embeddings of the input text prompt; and processing the contextual embeddings through a sequence of generative neural networks to generate a final output image that depicts a scene that is described by the input text prompt.

Abstract: Aspects of the disclosure are directed to a high performance connection scheduler for reliable transport protocols in data center networking. The connection scheduler can handle enqueue events, dequeue events, and update events. The connection scheduler can include a connection queue, scheduling queue, and quality of service arbiter to support scheduling a large number of connections at a high rate.

Abstract: Systems and methods for image understanding can include one or more object recognition systems and one or more vision language models to generate an augmented language output that can be both scene-aware and object-aware. The systems and methods can process an input image with an object recognition model to generate an object recognition output descriptive of identification details for an object depicted in the input image. The systems and methods can include processing the input image with a vision language model to generate a language output descriptive of a predicted scene description. The object recognition output can then be utilized to augment the language output to generate an augmented language output that includes the scene understanding of the language output with the specificity of the object recognition output.

Abstract: Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for generating convex decomposition of objects using neural network models. One of the methods includes receiving an input that depicts an object. The input is processed using a neural network to generate an output that defines a convex representation of the object. The output includes, for each of a plurality of convex elements, respective parameters that define a position of the convex element in the convex representation of the object.

Abstract: A method includes receiving sampled audio data corresponding to utterances and training a machine learning (ML) model, using the sampled audio data, to generate a high-fidelity audio stream from a low bitrate input bitstream. The training of the ML model includes de-emphasizing the influence of low-probability distortion events in the sampled audio data on the trained ML model, where the de-emphasizing of the distortion events is achieved by the inclusion of a term in an objective function of the ML model, which term encourages low-variance predictive distributions of a next sample in the sampled audio data, based on previous samples of the audio data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for under-display fingerprint sensor timing control are disclosed. A method includes receiving, by fingerprint sensor control circuitry, an indication to activate a fingerprint sensor that is located under a display panel of a computing device, the fingerprint sensor attached with respect to the display panel such that the fingerprint sensor is exposed to light produced by the display panel and reflected off a finger placed over the display panel at a location of the fingerprint sensor; outputting, for receipt by the fingerprint sensor, a start-sensing trigger signal at a start time synchronized with a display panel timing signal that is provided to the display panel to control emission of the display panel; and outputting, for receipt by the fingerprint sensor, a stop-sensing trigger signal at a stop time synchronized with the display panel timing signal.

Abstract: Mechanisms for managing output of an HDMI source are provided. In accordance with some implementations of the disclosed subject matter, a method for controlling output of an HDMI source is provided, the method comprising: establishing a connection between the HDMI source and an HDMI sink at a first address of a consumer electronic control bus of the HDMI sink; sending a request for an identity of the active source connected to the HDMI sink; monitoring signals on the consumer electronic control bus; receiving a message over the consumer electronic control bus identifying a second address on the consumer electronic control bus different from the first address as an address of an active source; setting a status of the HDMI source as inactive in response to receiving the message; and inhibiting output of video from the HDMI source to the HDMI sink in response to the status being set as inactive.