Abstract: Techniques and apparatuses are described that perform frequency compensation for a display. In aspects, a first uniformity of multiple regions of the display can be measured at a reference frequency. The display can then be driven at a second frequency and a second uniformity of the multiple regions of the display can be measured. The differences between the first and second uniformity can then be used to generate a compensation mask. XYZ domain data from the first and second uniformity measurements can be used to generate a color model characterization. The color model characterization can be used to convert the XYZ domain data into RGB data when the display is driven at the second frequency to compensate for the differences in uniformity across the multiple regions of the display.

Abstract: This document describes systems and techniques directed at trimless foldable displays. In aspects, a foldable electronic device includes a foldable display structure having a cover layer and a display panel positioned thereunder. At least portions of the cover layer may extend beyond one or more edges of the display panel. The foldable electronic device may further include a first compliant material disposed (i) between the housing and the display panel and (ii) underneath the at least portions of the cover layer that extend beyond the one or more edges of the display panel. Through such an implementation, the display panel of the foldable electronic device may be protected by the cover glass and/or the first compliant material. As a result, the foldable electronic device can do away with a display trim that would otherwise surround a perimeter of the display.

Abstract: A method for detecting a hotword includes receiving a sequence of input frames that characterize streaming audio captured by a user device and generating a probability score indicating a presence of a hotword in the streaming audio using a memorized neural network. The network includes sequentially-stacked single value decomposition filter (SVDF) layers and each SVDF layer includes at least one neuron. Each neuron includes a respective memory component, a first stage configured to perform filtering on audio features of each input frame individually and output to the memory component, and a second stage configured to perform filtering on all the filtered audio features residing in the respective memory component. The method also includes determining whether the probability score satisfies a hotword detection threshold and initiating a wake-up process on the user device for processing additional terms.

Abstract: A method for a website authentication is provided. The method includes receiving a reference uniform resource locator (URL) at a browser and determining whether the reference URL adheres to an authentication protocol including a credential identifier and a web authentication host URL. When the reference URL adheres to the authentication protocol, the method also includes extracting the credential identifier and the web authentication host URL from the reference URL. The method further includes obtaining credential data from a remote service using the credential identifier and sending web authentication instructions to the browser. The web authentication instructions include the web authentication host URL and the credential data.

Abstract: A method for training a sequence transduction model includes receiving a sequence of unlabeled input features extracted from unlabeled input samples. Using a teacher branch of an unsupervised subnetwork, the method includes processing the sequence of input features to predict probability distributions over possible teacher branch output labels, sampling one or more sequences of teacher branch output labels, and determining a sequence of pseudo output labels based on the one or more sequences of teacher branch output labels. Using a student branch that includes a student encoder of the unsupervised subnetwork, the method includes processing the sequence of input 10 features to predict probability distributions over possible student branch output labels, determining a negative log likelihood term based on the predicted probability distributions over possible student branch output labels and the sequence of pseudo output labels, and updating parameters of the student encoder.

Abstract: A method for conserving resources in a distributed system includes receiving an event-criteria list from a resource controller. The event-criteria list includes one or more events watched by the resource controller and the resource controller controls at least one target resource and is configured to respond to events from the event-criteria list that occur. The method also includes determining whether the resource controller is idle. When the resource controller is idle, the method includes terminating the resource controller, determining whether any event from the event-criteria list occurs after terminating the resource controller, and, when at least one event from the event-criteria list occurs after terminating the resource controller, recreating the resource controller.

Abstract: This disclosure describes an extended closure sensor design for an electronic device. An electronic device (300) senses, with a magnetic sensor (306), an open or a closed position of the electronic device (300). A lid magnetic field is propagated through a ferromagnetic material (304) by a lid magnet (302) when a lid (310) or similar component of the electronic device (300) is in the closed position, thereby placing the lid magnetic field incident upon the magnetic sensor (306). In the open position, the lid magnetic field is materially absent and a bias magnet (308) causes a bias magnetic field to be incident upon the magnetic sensor (306).

Abstract: A method for implementing software-defined community clouds includes receiving, from a first requestor, a first access request requesting access to a first project of a plurality of projects. Each project includes project data governed by a compliance regime that enforces compliance requirements. The method includes, for each compliance requirement, determining that the first access request satisfies the compliance requirement. The method includes, based on determining that the first access request satisfies compliance requirements, granting the first requestor access to the first project. The method includes receiving, from a second requestor, a second access request requesting access to a second project and determining that the second access request fails to satisfy one of the one of the compliance requirements. The method also includes, based on determining that the second access request fails to satisfy one of the compliance requirements, denying the second requestor access to the second project.

Abstract: A method includes receiving a series of writes that each requests respective data to be stored at a database. For each respective write, the method includes storing the respective data in a first buffer associated with a first data streaming application and a second buffer associated with a second data streaming application. The method includes transmitting the respective data to the database. The method includes receiving, from the database, confirmation that the respective data of the respective write has been committed to the database. The confirmation includes an order indicator indicating an order the respective data of the respective write was committed to the database relative to other writes in the series of writes. In response to receiving the confirmation, the method includes sending the respective data from the first buffer to the first data streaming application and from the second buffer to the second data streaming application.

Abstract: This document discloses aspects of secure chip-wide communication. In some aspects, a host of a system generates integrity metadata for a command payload issued to a destination over an interconnect of the system. The integrity metadata can be generated based on respective values of bits that form the command payload, such as plaintext data bits. The destination validates the integrity of the command payload based on the integrity metadata before consuming the command payload. In some cases, the destination stores the integrity metadata with data of the command payload, which may be returned to the host along the data when requested. By so doing, the host and destinations of the system can use the integrity metadata to implement secure-chip wide communication, which may prevent fault injection attacks on the command payloads or response data during transit or at temporal storage locations within the system.

Abstract: The present disclosure describes various aspects of complementary 2(N)-bit redundancy for single event upset (SEU) prevention. In some aspects, an integrated circuit includes a data storage element to store a data value, another data storage element to store a complementary data value, a multi-bit data storage element (e.g., a 2-bit storage element to store both the data value and the complementary data value, and voting logic that may enable a complementary data storage scheme with inter-circuit redundancy to prevent SEU. Additionally, the voting logic of the integrated circuit may enable detection and correction of data value errors and/or enable programming of voting logic criteria, which may be implemented dynamically based on a type of SEU failures that are detected or corrected.

Abstract: A smart-home device may include a main power rail that provides power to components of the smart-home device; an integrator coupled to the main power rail that stores energy on an energy-storage device, where the energy stored on the energy-storage device is representative of an amount an amount of power provided to the smart-home device through the main power rail during an integration cycle of the integrator; and a counter that stores a number of integration cycles performed by the integrator during a time interval, where a total amount of power provided to the smart-home device through the main power rail during the time interval is represented by: (1) the number of integration cycles performed by the integrator during the time interval; and (2) the energy stored on the energy-storage device.

Abstract: In aspects, a base station determines to transmit a multi-user-equipment communication, multi-UE communication, to multiple user equipments, UEs. The base station determines to include an adaptive phase-changing device, APD, in a communication path for a wireless signal carrying the multi-UE communication and selects a surface configuration for a surface of the APD based on determining to transmit the multi-UE communication. The base station directs the APD to apply the surface configuration to the surface and transmits the wireless signal carrying the multi-UE communication by transmitting the wireless signal towards the surface of the APD.

Abstract: Techniques and apparatuses are described that implement localization and health monitoring. With the use of multiple backscatter tags, a reader can be implemented with a single antenna and have a relatively small footprint compared to other systems that utilize antenna arrays or multiple readers. Also, the backscatter tags can be implemented as passive devices and located at fixed positions. In this way, a single power source can be provided at the reader, and target angular resolutions can be realized without the additional mechanical complexities associated with other moving systems. Additionally, the backscatter tags can be implemented using relatively low-cost commercial off-the-shelf hardware. As such, performance of the reader can be readily customized with the purchase of additional backscatter tags.

Abstract: The subject matter of the present disclosure can be implemented by, among other things, a network service server system configured to receive authorizations from a remote control application to associate media player devices that are connected to different local area networks with a user account, receive a request from the application to group multiple of the media player devices, and transmit a unique group identifier associated with the multiple media player devices to the application in response. In response to receiving a media playback command that includes the unique group identifier and control information usable by a media player device to control media playback, the network services transmits the control information to the multiple media player devices to control a media playback by the multiple media player devices.

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, by a first computing device, audio data that corresponds to an utterance. The actions further include determining a first value corresponding to a likelihood that the utterance includes a hotword. The actions further include receiving a second value corresponding to a likelihood that the utterance includes the hotword, the second value being determined by a second computing device. The actions further include comparing the first value and the second value. The actions further include based on comparing the first value to the second value, initiating speech recognition processing on the audio data.

Abstract: The subject matter of the present disclosure can be implemented by, among other things, a remote control application executed by a mobile device to identify media player devices connected to a network, present the media player devices for selection in a user interface (UI), receive a selection of multiple media player devices via the UI, and receive a unique group identifier associated with the multiple media player devices from a network service. By transmitting a message containing the unique group identifier and control information to the network service, a media playback by the multiple media player devices is controlled by the remote control application.

Abstract: A unified end-to-end segmenter and two-pass automatic speech recognition (ASR) model includes a first encoder, a first decoder, a second encoder, and a second decoder. The first encoder is configured to receive a sequence of acoustic frames and generate a first higher order feature representation. The first decoder is configured to receive the first higher order feature representation and generate, at each of a plurality of output steps, a first probability distribution and an indication of whether the output step corresponds to an end of speech segment, and emit an end of speech timestamp. The second encoder is configured to receive the first higher order feature representation and the end of speech timestamp, and generate a second higher order feature representation. The second decoder is configured to receive the second higher order feature representation and generate a second probability distribution.

Abstract: The subject matter of the present disclosure can be implemented by, among other things, a network service server system configured to receive a request from a remote control application to authorize the application to be associated with a user account, determine that the user account includes permissions for media player devices, and transmit a unique group identifier associated with multiple of the media player devices to the application. The network service server system is further configured to receive a media playback command from the application that includes the unique group identifier and control information useable by a media player device to control media playback. In response, the network service server system controls a concurrent media playback on the multiple media player devices by transmitting the control information to the multiple media player devices.

Abstract: A method includes detecting a presence of multiple users within an environment of an assistant-enabled device (AED) and obtaining, for each user, a respective active set of warm words that each specify a respective action for a digital assistant to perform. Based on each respective active set of warm words, the method also includes executing a warm word arbitration routine to enable a final set of warm words for detection by the AED. Here, the final set of warm words includes warm words selected from the respective active set of warm words. While the final set of warm words are enabled, the method also includes receiving audio data corresponding to an utterance captured by the AED, detecting a warm word from the final set of warm words in the audio data, and instructing the digital assistant to perform the respective action specified by the detected warm word.

Abstract: Methods, systems, apparatus, including computer programs encoded on computer storage media, for reclaiming storage space in a storage environment. In one aspect, the method includes actions of aggregating data that is indicative of access to one or more data objects, determining a future storage cost associated with each of a plurality of data objects, determining an access window for each of the plurality of data objects, identifying a data object based on (i) the future storage cost that satisfies a predetermined threshold and (ii) a data object access window, providing a notification to a user device that requests feedback from a user indicating whether the data object can be deleted, and in response to receiving data that indicates that the data object can be deleted, generating an instruction to cause deletion of the data object upon the expiration of the access window.

Abstract: This document describes systems and techniques for facilitating spatial rediscovery using on-device hardware. For example, an audio input mechanism associated with a compact device can be activated and an audio signal can be generated by an audio output mechanism associated with an external device. The audio signal can be received at the audio input mechanism associated with the compact device. The receipt of the audio signal may cause the audio input mechanism to produce electrical signals having encoded information associated with the audio signal. The electrical signals can then be transmitted to the external device as wireless signals. Based on an analysis of the transmitted wireless signals, a spatial positioning of the compact device relative to the external device can be determined. Based on the determination of the spatial positioning, a location indicator can be provided via the external device.

Abstract: A method includes obtaining a source training dataset that includes a plurality of source training images and obtaining a target training dataset that includes a plurality of target training images. For each source training image, the method includes translating, using the forward generator neural network G, the source training image to a respective translated target image according to current values of forward generator parameters. For each target training image, the method includes translating, using a backward generator neural network F, the target training image to a respective translated source image according to current values of backward generator parameters. The method also includes training the forward generator neural network G jointly with the backward generator neural network F by adjusting the current values of the forward generator parameters and the backward generator parameters to optimize an objective function.

Abstract: A method for augmenting handling of logs generated in platform as a system (PaaS) environments includes transmitting, to an external cloud computing environment, an application programming interface (API) request. The API request includes a trace identification (ID), a concealment indicator, and a policy ID. The method also includes updating the first entry in the first log corresponding to the API request based on the trace ID and the concealment indicator. The method also includes storing the first entry in the first log corresponding to the API request based on the storage criteria of the policy ID.

Abstract: Techniques for controlling a remotely controllable device are described. In an example, a mobile device detects a remotely controllable device, measures a distance and direction from the mobile device to the remotely controllable device, and determines from the distance and direction that the mobile device is pointing at the remotely controllable device. In response to determining that the mobile device is in a handheld position, is pointing at the remotely controllable device, or both, the mobile device monitors for a movement of the mobile device according to a prescribed gesture. In response to detecting that the mobile device was moved according to the prescribed gesture, the mobile device presents a collection of selectable actions control operations of the remotely controllable device.

Abstract: This application is directed to a display assistant device that acts as a voice-activated user interface device. The display assistant device includes a base, a screen and a rear speaker. The base is configured for sitting on a surface. The screen has a rear surface and is supported by the base at the rear surface. A bottom edge of the screen is configured to be held above the surface by a predefined height, and the base is substantially hidden behind the screen from a front view of the display assistant device. The rear speaker is concealed inside the base and oriented to project sound towards the rear side of the base.

Abstract: This document describes techniques and systems for authentication management through IMU and radar. The techniques and systems use inertial sensor data from an inertial measurement unit (IMU) and/or radar data to manage authentication for a computing device. By so doing, the techniques conserve power, improve accuracy, or reduce latency relative to many common techniques and systems for computing-device authentication.

Abstract: A method using multi-assistant warm words includes, for each digital assistant in a group of digital assistants enabled on a multi-assistant device, receiving a respective active set of warm words that each specify a respective action to perform. Based on the respective active set of warm words, the method also includes executing a warm word arbitration routine to enable a final set of warm words for detection, each warm word in the final set of warm words selected from the respective active set of warm words for at least one digital assistant. While the final set of warm words are enabled for detection, the method includes receiving audio data corresponding to an utterance, detecting a warm word from the final set of warm words, and instructing the digital assistant associated with the detected warm word to perform the respective action specified by the detected warm word.

Abstract: A computer-implemented input-method editor process includes receiving a request from a user for an application-independent input method editor having written and spoken input capabilities, identifying that the user is about to provide spoken input to the application-independent input method editor, and receiving a spoken input from the user. The spoken input corresponds to input to an application and is converted to text that represents the spoken input. The text is provided as input to the application.

Abstract: Replicas are selected in a large distributed network, and the roles for these replicas are identified. In one example, a leader is selected from among candidate computing clusters. To make this selection, an activity monitor predicts or monitors the workload of one or more clients. Different activities of the workload are given corresponding weights. The delay in performing requested activities, modified by these weights is found, and the candidate leader with the lowest weighted delay is selected as the leader.

Abstract: A method for training a non-autoregressive TTS model includes receiving training data that includes a reference audio signal and a corresponding input text sequence. The method also includes encoding the reference audio signal into a variational embedding that disentangles the style/prosody information from the reference audio signal and encoding the input text sequence into an encoded text sequence. The method also includes predicting a phoneme duration for each phoneme in the input text sequence and determining a phoneme duration loss based on the predicted phoneme durations and a reference phoneme duration. The method also includes generating one or more predicted mel-frequency spectrogram sequences for the input text sequence and determining a final spectrogram loss based on the predicted mel-frequency spectrogram sequences and a reference mel-frequency spectrogram sequence. The method also includes training the TTS model based on the final spectrogram loss and the corresponding phoneme duration loss.

Abstract: This disclosure describes apparatuses and techniques for a switched multi-cell battery system for electronic devices. In some aspects, a switched multi-cell battery system may transfer, via a plurality of power control switches electrical power from a power adapter to components of the electronic device by charging battery cells in series and by discharging the battery cells in parallel or as a single battery cell. As a result, the switched multi-cell battery system may reduce or eliminate a voltage step-down conversion stage to increase a power-transfer efficiency of an electronic device. By doing so, charging times may be reduced or operating times may be increased, thereby improving users' experience with their electronic devices.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable media, for speech recognition using multi-dialect and multilingual models. In some implementations, audio data indicating audio characteristics of an utterance is received. Input features determined based on the audio data are provided to a speech recognition model that has been trained to output score indicating the likelihood of linguistic units for each of multiple different language or dialects. The speech recognition model can be one that has been trained using cluster adaptive training. Output that the speech recognition model generated in response to receiving the input features determined based on the audio data is received. A transcription of the utterance generated based on the output of the speech recognition model is provided.

Abstract: A method for detecting short-lived repeat voice commands includes activating a set of one or more warm words each associated with a respective action for controlling a long-standing operation performed by a digital assistant. While the digital assistant is performing the long-standing operation, the method includes receiving audio data, and detecting, in the audio data, a warm word from the activated set of one or more warm words. In response to detecting the warm word, the method includes performing the respective action associated with the detected warm word, and activating a set of one or more repeat warm words associated with the detected warm word. The method further includes receiving additional audio data, detecting, in the additional audio data, a repeat warm word from the activated set of one or more repeat warm words, and performing the respective action associated with the detected repeat warm word.

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 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 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: The various implementations described herein include a video camera assembly that includes: (1) a housing; (2) an image sensor positioned within the housing and having a field of view corresponding to a scene in the smart home environment; and (3) a concave-shaped front face positioned in front of the image sensor such that light from the scene passes through the front face prior to entering the image sensor; where the front face includes: (a) an inner section corresponding to the image sensor; and (b) an outer section between the housing and the inner section, the outer section having a concave shape that extends from an outer periphery of the outer section to an inner periphery of the outer section; and where the concave shape extends around an entirety of the outer periphery.

Abstract: A method includes obtaining a base encoder from a pre-trained model, and receiving training data comprising a sequence of acoustic frames characterizing an utterance paired with a ground-truth transcription of the utterance. At each of a plurality of output steps, the method includes: generating, by the base encoder, a first encoded representation for a corresponding acoustic frame; generating, by an exporter network configured to receive a continuous sequence of first encoded representations generated by the base encoder, a second encoded representation for a corresponding acoustic frame; generating, by an exporter decoder, a probability distribution over possible logits; and determining an exporter decoder loss based on the probability distribution over possible logits generated by the exporter decoder at the corresponding output step and the ground-truth transcription.