Abstract: Embodiments relate to an audio processing unit that includes a buffer, bitstream payload deformatter, and a decoding subsystem. The buffer stores at least one block of an encoded audio bitstream. The block includes a fill element that begins with an identifier followed by fill data. The fill data includes at least one flag identifying whether enhanced spectral band replication (eSBR) processing is to be performed on audio content of the block. A corresponding method for decoding an encoded audio bitstream is also provided.

Abstract: This disclosure describes systems and methods for using a primary device, communicatively coupled to a remote system, to configure or re-configure a secondary device in the same environment as the primary device. In some instances, the primary device may communicatively couple to the secondary device via a short-range wireless connection and to the remote system via a wireless area network (WAN), a wired connection, or the like. Thus, the primary device may act as an intermediary between the secondary device and the remote system for configuring the secondary device.

Abstract: A method of generating content in association with an information search and retrieval system. It begins by receiving a query from a user. The query is semantically-searched to identify a context. A conversation history between the user and the system is identified. An enriched query is then generated by associating to the query both the context and at least a portion of the conversation history. The enriched query is then evaluated/processed by a generative-AI. In response, information associated with the enriched query is received from the generative-AI. A response to the query is then generated using the information, e.g., by passing the information back to the user, by modifying (e.g., editing or supplementing) the information to generate modified information and passing the modified information back to the user, or by dismissing the information. If sensitive information is identified in the utterance, it is masked prior to generating the enriched query.

Abstract: Many portable playback devices cannot decode and playback encoded audio content having wide bandwidth and wide dynamic range with consistent loudness and intelligibility unless the encoded audio content has been prepared specially for these devices. This problem can be overcome by including with the encoded content some metadata that specifies a suitable dynamic range compression profile by either absolute values or differential values relative to another known compression profile. A playback device may also adaptively apply gain and limiting to the playback audio. Implementations in encoders, in transcoders and in decoders are disclosed.

Abstract: A voice assistant includes an electronic processor unit connected to at least one microphone and to remote equipment. The electronic processor unit includes both single detection modules for detecting respective single keywords from an audio signal supplied by the microphone, and also a control unit connected to the single detection modules to select predetermined actions as a function of the detected keywords and to perform those actions. The control module is also arranged to detect whether actions are doable and to activate or deactivate the single detection modules as a function of the doability of the actions.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for selecting a digital assistant from among multiple digital assistants. An embodiment operates by receiving a voice input containing a trigger word at a first voice adapter associated with a digital assistant that generates a first confidence score for the trigger word. The embodiment further receives the voice input at a second voice adapter that generates a second confidence score for the trigger word. The embodiment determines the first confidence score is higher than the second confidence score. The embodiment selects the digital assistant based on the determining.

Abstract: Understanding emojis in the context of online experiences is described. In at least some embodiments, text input is received and a vector representation of the text input is computed. Based on the vector representation, one or more emojis that correspond to the vector representation of the text input are ascertained and a response is formulated that includes at least one of the one or more emojis. In other embodiments, input from a client machine is received. The input includes at least one emoji. A computed vector representation of the emoji is used to look for vector representations of words or phrases that are close to the computed vector representation of the emoji. At least one of the words or phrases is selected and at least one task is performed using the selected word(s) or phrase(s).

Abstract: This relates to intelligent automated assistants and, more specifically, to intelligent context sharing and task performance among a collection of devices with intelligent automated assistant capabilities. An example method includes, at a first electronic device participating in a context-sharing group associated with a first location: receiving a user voice input; receiving, from a context collector, an aggregate context of the context-sharing group; providing at least a portion of the aggregate context and data corresponding to the user voice input to a remote device; receiving, from the remote device, a command to perform one or more tasks and a device identifier corresponding to a second electronic device; and transmitting the command to the second electronic device based on the device identifier, wherein the command causes the second electronic device to perform the one or more tasks.

Abstract: The description relates to systems and methods for extending applications. For example, a voice assistant application can be the application to be extended. In an example, a mobile banking application can be the application that provides the extension. For example, a voice assistant might not have capability to conduct fingerprint (or biometric) authentication and bill payment function. An extension point within the voice assistant application that would enable this kind of capability might not exist. The mobile banking application can have a biometric tool for fingerprint authentication capability and a payment tool for a bill payment or money transfer function. Embodiments described herein can involve a deep link from the voice assistant application to the mobile banking application (which does offer fingerprint authentication and bill payment capability). The navigation to the mobile banking application can generate a visual impression at the UI similar or consistent with the voice assistant application.

Abstract: An embodiment dashboard voice control system for a motorcycle comprises receiver circuitry to receive voice-generated signals, command recognition circuitry to recognize voice-generated command signals for a motorcycle dashboard out of the voice-generated signals received at the receiver circuitry as well as command implementation circuitry to implement motorcycle dashboard actions as a function of voice-generated command signals recognized by the command recognition circuitry.

Abstract: Methods, apparatuses, and computing systems are provided for integrating logic services with a group communication service. In an implementation, a method may include receiving a spoken message from a communication node in a communication group and determining that the spoken message relates to a logic service and transferring the spoken message to a voice assistant service with an indication that the spoken message relates to the logic service. The method also includes receiving status information from the logic service indicative of a status of a networked device associated with the logic service. The further method includes sending an audible announcement to the communication nodes in the commutation group expressive of the status of the networked device.

Abstract: A device may receive historical data and real-time data associated with a troubleshooting service, identify, using a machine learning model, an optimal resolution based on the historical data and the real-time data, and identify, using a graph analytics model, an optimal path of actions based on the optimal resolution. The machine learning model may be trained to identify one of the set of historical issues associated with the unresolved issue, and identify the optimal resolution based on one of the set of historical resolutions associated with the one of the set of historical issues. The graph analytics model may be trained to generate a set of paths of actions based on the historical data, and identify the optimal path based on respective numbers of actions associated with the set of paths. The device may identify optimal action based on the optimal path and the prior action.

Abstract: A synonym extraction apparatus determines, for compound words included in the document, that types of nouns constituting the compound word are each a Sahen-noun or another noun type to determine a pattern of a sequence of the types of the nouns constituting the compound word, extracts a group of compound words having an identical pattern of the sequence of the types, extracts compound words having an identical leading or ending word from among them, and creates, for a group of compound words having the identical pattern of the sequence of the nouns and the identical leading or ending word, a co-occurrence vector having, as a component, a noun appearing in the same sentence as the corresponding compound word, and outputs, as synonyms, a group of compound words having a degree of similarity between the co-occurrence vectors of the compound words equal to or greater than a predetermined threshold.

Abstract: A signal processing method and device includes obtaining spectral coefficients of a current frame of an audio signal, in which N sub-bands of the current frame comprises at least one of the spectral coefficients. A total energy of M successive sub-bands of the N sub-bands, a total energy of K successive sub-bands of the N sub-bands, and an energy of a first sub-band are obtained to determine whether to modify original envelope values of the M sub-bands. When the original envelope values of the M sub-bands are modified, encoding bits are allocated to each of the N sub-bands according to the modified envelope values of the M sub-bands.

Abstract: The invention provides a content playback system comprising a plurality of playback devices, each of which is configured to detect a voice command from a user and to play content. The system is configured to store an account conversation state associated with an account shared by the plurality of playback devices, and a device conversation state that is associated with a first playback device of the plurality of playback devices. When a voice command is detected by the first playback device, the system is configured to control the first playback device using information in the account conversation state and the device conversation state associated with the first playback device as an input. This may improve continuity of experience for a user across the plurality of playback devices.

Abstract: Systems and methods for configuring a dialogue guidance graph that governs a set of operations of an automated dialogue system and that includes encoding a recall operation to a target graphical node of the graph, wherein the recall operation causes: an accessing of a temporary data storage storing a log of data of an active dialogue session between a user and the automated dialogue system, an assessment of a terminality attribute associated with the target graphical node, a determination of whether the terminality attribute is disabled or enabled, wherein if the terminality attribute is disabled, the recall operation, causes the automated dialogue system to revert the active dialogue session to the target graphical node to perform one or more dialogue-based operations between the user and the automated dialogue system that converts the terminality attribute of the target graphical node from the disabled state to the enabled state.

Abstract: An encoding method includes dividing a to-be-encoded time-domain signal into a low band signal and a high band signal, performing encoding on the low band signal to obtain a low frequency encoding parameter, performing encoding on the high band signal to obtain a high frequency encoding parameter, obtaining a synthesized high band signal, performing short-time post-filtering processing on the synthesized high band signal to obtain a short-time filtering signal, and calculating a high frequency gain based on the high band signal and the short-time filtering signal.

Abstract: A computational evidence platform extracts clinical concepts from medical evidence sources and creates a database of elemental diagnostic factors and elemental investigations links to medical conditions. Input from a person groups factors and investigations makes corrections and adds a ranking. Elemental factors and investigations do not include information specific to their associated conditions but include synonyms and a link to a medical ontology. A patient state is determined by extracting patient known diagnostic factors and investigation results from the patient chart. These known factors and results are matched to the database and a ranking of likely conditions are output. Next-best actions per condition are output by determining factors not yet known and investigations not yet performed. Next-best actions across conditions are determined by performing a recursive tree search of the database and assuming that unknown factors are now known to generate a score for each assumption.

Abstract: The present disclosure discloses a method for generating a styled sentence by a computer device. The method includes: obtaining a to-be-converted natural sentence, classifying, by inputting the natural sentence into a first encoding model, having a classification capability of classifying the natural sentence into a target content vector and a style vector of the natural sentence, the target content vector indicating a meaning of the natural sentence, and the style vector of the natural sentence indicating a language style of the natural sentence. The method also include determining, from at least one style vector according to a set target language style, a target style vector corresponding to the target language style; and inputting the target content vector and the target style vector into a first decoding model, and generating a styled sentence corresponding to the natural sentence.

Abstract: Systems and methods are described to address shortcomings in conventional systems by correcting an erroneous term in on-screen caption text for a media asset. In some aspects, the systems and methods identify the erroneous term in a text segment of the on-screen caption text, and identify one or more video frames of the media asset corresponding to the text segment. The systems and methods further identify a contextual term related to the erroneous term from the one or more video frames. By accessing a knowledge graph, the systems and methods identify a candidate correction based on the contextual term and a portion of the text segment. Lastly, the systems and methods replaces the erroneous term with the candidate correction.