Abstract: Methods, systems and computer program products for detecting and correcting user confusion by a voice response system are provided. Aspects include monitoring, by the voice response system, ambient audio for a voice command from a user, determining and playing a response to the voice command, and monitoring a reaction of the user to the response. Based on a determination that the user did not understand the response, aspects include providing additional reference information to the user. The additional reference information is configured to aid the user in understanding the response.

Abstract: Aspects of the present invention disclose a method for creating a blacklist of keywords. The method includes one or more processors identifying an indication of content. The method further includes determining at least one keyword included in the content. The method further includes generating a blacklist that corresponds to the content, where the generated blacklist including the determined at least one keyword.

Abstract: Systems and methods for a translation management system include performing a source text collection and translation process. The source text collection and translation process includes collecting, from one or more applications, one or more source texts for translation. Source segments for translation are determined using the one or more source texts. Source text properties associated with the one or more source texts are provided to a machine learning engine. Translation performance requirement predictions associated with the plurality of source segments respectively are generated by the machine learning engine based on the source text properties. A plurality of translation requests associated with the plurality of source segments is provided by the machine learning engine based on the translation performance requirement predictions. One or more translated texts generated in response to executing the plurality of translation requests are received.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for identifying information. One embodiment of the method includes: collecting to-be-processed audio in real-time; performing voice recognition on the to-be-processed audio; performing data-processing on the to-be-processed audio, when the audio is recognized as a wake-up word, the wake-up word is used for instructing performing data-processing on the to-be-processed audio. The embodiment can identify keywords from the to-be-processed audio obtained in real-time and then perform data-processing on the to-be-processed audio, which improves completeness in obtaining the to-be-processed audio and accuracy in performing data-processing on the to-be-processed audio.

Abstract: Aspects of the subject disclosure may include, for example, receiving wirelessly a first transmission of data from a network interface device, wherein the network interface device includes a receiver and a transmitter. The network interface device receives, via the receiver, electromagnetic waves that propagate on a surface of a dielectric transmission medium. The network interface device converts, via the receiver, the electromagnetic waves to an electrical signal, and transmits, via the transmitter, a first transmission of the data based on the electrical signal. A determination is made that the data is to be directed towards a recipient device connected to at least one electrical circuit and, based on the determination, a second transmission of the data is initiated as a power line communication transmission of a utility power line via the at least one electrical circuit. Other embodiments are disclosed.

Abstract: Systems, devices, and methods of the present invention relate to text classification. A text classification system accesses an utterance of text. The utterance includes at least one word. The text classification system generates a parse tree for the utterance. The parse tree includes at least one terminal node with a word type. The terminal node represents a word of the utterance. The text classification system applies one or more rules to the text. The text classification system then classifies the utterance as a question or a request for an autonomous agent to perform an action.

Abstract: Techniques are disclosed for predicting a tone of a text communication using psycholinguistic features of the text communication. In some examples, a method may include generating a feature vector for a text communication using features, including psycholinguistic features, extracted from the text communication, and predicting a tone of the text communication based on the feature vector. The tone is predicted by a trained prediction module that is trained using psycholinguistic features of text communications in a training set used to train the trained prediction module. The predicted tone is at least one of a predicted measure of frustration, a predicted measure of formality, and a predicted measure of politeness.

Abstract: Techniques are provided for efficient acoustic event detection with reduced resource consumption. A methodology implementing the techniques according to an embodiment includes calculating frames of power spectra based on segments of received acoustic signals. The method further includes two processes, one for detecting impulsive acoustic events and another for detecting continuous acoustic events. The first process includes generating impulsive acoustic event features associated with first and second power spectrum frames, applying a neural network classifier to the impulsive acoustic event features to generate event scores, and detecting an impulsive acoustic event based on those event scores.

Abstract: A master unit and a remote unit is provided for a multiband transmission system for distributing and combining signals of at least one wireless communication network and at least one digital network. A reference frequency generator is arranged in the master unit, the reference frequency generator being designed to clock a master modem for converting the signals of the at least one digital network. The reference frequency signal emitted by the reference frequency signal is restored via a reference frequency receiver and is used for closing a remote modem that is located there for demodulation.

Abstract: Apparatus and methods can be implemented to determine correctness and/or consistency of communications in a variety of applications. In various embodiments, a communication in a communication channel can be monitored, a feature from the monitored communication can be extracted for comparison with one or more sample features to determine correctness and/or an identification of a contradiction of the extracted feature from which remedial action can be taken. Additional apparatus, systems, and methods are disclosed.

Abstract: A first communication device receives plurality of uplink data units simultaneously transmitted by multiple second communication devices, and generates an acknowledgement data unit to acknowledge receipt of the plurality of uplink data units. Each of at least some of a plurality of acknowledgment fields includes: a first field that includes an indicator of a corresponding one of the second communication devices, a second field that indicates whether the acknowledgment field corresponds to i) an acknowledgment corresponding to a single data unit, or ii) a block acknowledgment corresponding to multiple data units, wherein when the second field that indicates a block acknowledgment, the acknowledgment field further includes a third field having a bitmap that indicates which data units in the group are being acknowledged, and wherein when the second field that indicates acknowledgment of a single data unit, the acknowledgment field does not include the third field.

Abstract: A formula system can transform a formula natural language representation (“NLR”) into a representation which shows the formula in traditional mathematical notation. This transformation can include creating a state machine with transition mappings between states that match to initial parts of the NLR. These transition mappings can include global transition mappings that are first attempted to be matched to the beginning of the NLR and then state specific transition mappings can be matched to the NLR. The formula system can consume the NLR, transitioning from state to state as indicated by the transition mappings and removing the matched initial part from the NLR, until the NLR has been fully consumed. In some cases, the formula system can recursively or iteratively create additional state machines to consume portions of the NLR. Some states provide a result (e.g. portion of a formula representation) which are combined to create the final formula representation.

Abstract: A method for improved efficiency for massive MIMO adaptation. In an embodiment, method for operating a network component in a massive MIMO network includes obtaining, by the network component, one or more network parameters; determining, by the network component, a number of active antennas in a massive MIMO AP to use for transmitting in one time frame according to the one or more network parameters, the number of active antennas selected being less than a total number of antennas available in the massive MIMO AP; and serving one or more UEs using the determined number of active antennas. Other embodiments reduce the number of beamformers utilized according to network parameters. In still other embodiments, a number of data streams to transmit and a corresponding number of users to be served in a time frame by a massive MIMO AP is reduced.

Abstract: Systems and methods of assigning channel state information-reference symbol (CSI-RS) ports to user equipment are provided. In addition resource configurations for transmission of CSI-RS are provided, and methods of mapping CSI-RS sequences to such resources are provided.

Abstract: A system and method of issuing an alert through a voice assistant on behalf of a bank or other financial institution is disclosed. The alert through voice assistant enhances the channels of communication between the financial institution and the customer and enables a variety of information to be provided to the customer, including, but not limited to, fraud alerts. The alert through voice assistant satisfies two of the three security indicia, thus increasing the likelihood that the financial institution is in communication with its customer rather than a fraudster. The alert through voice assistant provides a mechanism in which information provided to the customer is clear, detailed, and interactive, increasing customer satisfaction and decreasing superfluous customer service calls.

Abstract: A method for a channel state information (CSI) feedback. The method comprises receiving CSI feedback configuration information for the CSI feedback including a spatial channel information indicator based on a linear combination (LC) codebook, wherein the spatial channel information comprises at least one of a downlink channel matrix, a covariance matrix of the downlink channel matrix, or at least one eigenvector of the covariance matrix of the downlink channel matrix; deriving the spatial channel information indicator using the LC codebook that indicates a weighted linear combination of a plurality of basis vectors or a plurality of basis matrices as a representation of at least one of a downlink channel matrix, a covariance matrix of the downlink channel matrix, or at least one eigenvector of the covariance matrix of the downlink channel matrix; and transmitting over an uplink channel, the CSI feedback including the spatial channel information indicator.

Abstract: Techniques are described related to enabling automated assistants to enter into a “conference mode” in which they can “participate” in meetings between multiple human participants and perform various functions described herein. In various implementations, an automated assistant implemented at least in part on conference computing device(s) may be set to a conference mode in which the automated assistant performs speech-to-text processing on multiple distinct spoken utterances, provided by multiple meeting participants, without requiring explicit invocation prior to each utterance. The automated assistant may perform semantic processing on first text generated from the speech-to-text processing of one or more of the spoken utterances, and generate, based on the semantic processing, data that is pertinent to the first text. The data may be output to the participants at conference computing device(s).

Abstract: The present disclosure relates to methods, a device and a system for evaluation of channel estimate. One method is performed in a first access point arranged to communicate with one or more wireless devices through information streams that are created using multiple co-located antennas. The method comprises transmitting or receiving a packet A, to/from, the first wireless device, wherein the packet A is transmitted using a precoder determined using the channel estimate, retrieving information about possibly interfering transmissions C between further access points in the vicinity of the first access point, and respective second wireless devices; wherein the information comprises location information and timing information related to the possibly interfering transmissions, determining spatial separations between the transmissions A and C and evaluating the channel estimate, based on the determined spatial separations.

Abstract: In the present invention, regarding a narrowband used in a subframe for transmitting uplink data, if a switch is made from a first narrowband used in a first subframe to a second narrowband that is different from the first narrowband, with respect to a second subframe continuing to the first subframe, a final one symbol of the first subframe and an initial one symbol of the second subframe are punctured and set as a retuning time to transmit the uplink data in the first narrowband and the second narrowband.

Abstract: Apparatus is provided for: storing at least one three-dimensional matrix C[M][N][K] of calibration data; performing singular value decomposition of each at least one three-dimensional matrix C[M][N][K] of calibration data to produce at least one first unitary rotation matrix U, at least one diagonal scaling matrix S and at least one second unitary rotation matrix V; and resizing each of the at least one first unitary rotation matrix U, the at least one diagonal scaling matrix S and the at least one second unitary rotation matrix V by removing dimensions therefrom, thereby producing resized matrices U, S and V. Corresponding decompression is also provided.