Abstract: A method and data processing device for detecting a communication between a first and second entity. The method includes identifying whether a previous communication between the first and second entity has been detected. In response to identifying that the previous communication between the first and second entity has been detected, the method determines an elapsed time since detection of the previous communication. The method predicts a topic of the communication, in part based on the determined elapsed time. The topic corresponds to a specific domain from among a plurality of available domains for automatic speech recognition (ASR) processing. The method triggers selection and activation of a first domain specific (DS) ASR engine from among a plurality of available DS ASR engines to utilize a smaller resource footprint than a general ASR engine and facilitate recognition of specific vocabulary and context, in part, based on the elapsed time since the previous communication.

Abstract: A device for obtaining, storing and displaying information from a remote server, the device has a modem for establishing communication sessions with the remote server. A memory coupled to the modem stores the obtained information, and a display is coupled to the memory for displaying the stored information. The device automatically and periodically communicates with the remote server for obtaining the information.

Abstract: Certain embodiments involve facilitating natural language processing through enriched distributional word representations. For instance, a computing system receives an initial word distribution having initial word vectors that represent, within a multidimensional vector space, words in a vocabulary. The computing system also receives a human-reaction lexicon indicating human-reaction values respectively associated with words in the vocabulary. The computing system creates an enriched word distribution by modifying one or more of the initial word vectors such that the distance between the pair of initial word vectors representing a pair of words is decreased based on a human-reaction similarity between the pair of words.

Abstract: Implementations described here provide a chatbot system that is configurable to meet the needs of the user. In one implementation, a chatbot system is configured to utilize and vary decision trees, decision tree complexity, and decision tree selection adaptive to the needs of the end user. Further, implements may utilize decision trees that are configured as static or dynamic using independent leaves and skillsets to allow for variations in the level of sophistication needed for a chatbot conversation. In other implementations, a chatbot system may be configured to assess the chatbot scenario and requirements in order to adapt processing requirements in order to increase or decrease processing threads to vary processing efficiency relative to the needs of the user. In some scenarios, the chatbot system described herein is introspective thereby using feedback and data to be adaptive to chatbot session errors and self-healing.

Abstract: An exemplary frequency-domain encoder system accesses a set of encoder parameters. The frequency-domain encoder system also accesses time-domain data representative of a content instance. In accordance with the set of encoder parameters, the frequency-domain encoder system transforms the time-domain data into frequency-domain data representative of the content instance. The frequency-domain data includes a plurality of complex coefficients each representing different frequency components of a plurality of frequency components incorporated by the content instance. Also in accordance with the set of encoder parameters, the frequency-domain encoder system generates a frequency-domain data container that includes, in a predefined data container format, the complex coefficients of the frequency-domain data and metadata descriptive of the frequency-domain data. Corresponding systems and methods are also disclosed.

Abstract: A method, computer system, and a computer program product for relevancy-based document quality assessment is provided. The present invention may include computing a document quality score based on at least one container relevancy score determined based on at least one domain link to a domain knowledge base.

Abstract: Systems and methods for noise reduction are provided including operations for noisy speech signals, such as speech signals that are subject to speech processing, speech recognition and speech transmission for voice communication purposes. In one embodiment, a system for noise suppression includes an input smoothing filter to smooth magnitudes of the input spectrum, a desired noise shape determination block configured to determine a desired noise shape of the noise spectrum dependent on the smoothed-magnitude input spectrum, and a suppression factors determination block configured to determine a set of suppression factors based on the desired noise shape and the smoothed-magnitude input spectrum. In one embodiment, a filter coefficient determination block is configured to determine noise suppression filter coefficients from the desired noise shape of the noise spectrum. Embodiments are also directed to systems and methods for noise reduction.

Abstract: Embodiments allow for an auto-mixer to gate microphones on and off based on speech detection, without losing or discarding the speech received during the speech recognition period. An example method includes receiving and storing an input audio signal. The method also includes determining, based on a first segment of the input audio signal, that the input audio signal comprises speech, and determining a delay between the input audio signal and a corresponding output audio signal provided to a speaker. The method also includes reducing the delay, wherein reducing the delay comprises removing one or more segments of the stored input audio signal to create a time-compressed audio signal and providing the time-compressed audio signal as the corresponding output audio signal. The method also includes determining that the delay is less than a threshold duration, and responsively providing the input audio signal as the corresponding output audio signal.

Abstract: A device for obtaining, storing and displaying information from a remote server, the device has a modem for establishing communication sessions with the remote server. A memory coupled to the modem stores the obtained information, and a display is coupled to the memory for displaying the stored information. The device automatically and periodically communicates with the remote server for obtaining the information.

Abstract: A device for obtaining, storing and displaying information from a remote server, the device has a modem for establishing communication sessions with the remote server. A memory coupled to the modem stores the obtained information, and a display is coupled to the memory for displaying the stored information. The device automatically and periodically communicates with the remote server for obtaining the information.

Abstract: Audio/video (A/V) recording and communication devices in network communication with additional cameras in accordance with various embodiments of the present disclosure are provided. In one embodiment, an audio/video (A/V) recording and communication device is provided comprising: a first camera configured to capture image data at a first resolution; a communication module; and a processing module operatively connected to the first camera and the communication module, wherein the processing module is in network communication with a backend server, the processing module comprising: a processor; and a camera application that configures the processor to: maintain the first camera in a low-power state; receive a power-up command signal from the backend server based on an output signal from a second camera; power up the first camera in response to the power-up command signal; and capture image data using the first camera in response to the power-up command signal.

Abstract: Embodiments described herein relation to IT incident management that can involve predictive analytics, prescriptive analytics, and descriptive analytics. An IT incident management platform can enable IT incident solution prediction using prescriptive models and natural language processing. An IT incident management platform can enable IT incident ticket volume prediction using predictive models and natural language processing. An IT incident management platform can generate visual elements for display at an interactive interface that represents data centre topology network graphs using descriptive models.

Abstract: An audio data processing method comprises receiving at least one audio signal frame from an audio playing program, obtaining a first average power of the at least on audio signal frame, determining whether the first average power of the at least one audio signal frame is less than a first threshold and whether the audio playing program is in a background running mode, and in response to determining that the first average power of the at least one audio signal frame is less than the first threshold and the audio playing program is in the background running mode, triggering the audio playing program to pause playing.

Abstract: A communication system and method for displaying text captions corresponding to voice communications between an assisted user's mobile wireless device and a separate hearing user's device includes at least one communication component configured to enable the appliance to communicate with a relay, a display, and a processor operably coupled to the at least one communication component and the display. The processor is configured to enable the assisted user to establish an association between the appliance and the mobile device, receive text originating at the relay, the text corresponding to a transcript of the hearing user's voice signal originating at the hearing user's device, and cause text captions corresponding to the received text to be displayed on the display.

Abstract: A method includes monitoring data associated with an electronic conference session between a plurality of users during the electronic conference session. The method further includes determining that an electronic conference termination event has been triggered based on the monitored data and in absence of a user selection to terminate the electronic conference session. Responsive to determining that the electronic conference termination event has been triggered, an electronic conference session ending event is initiated.

Abstract: One variation of a method for video conferencing includes, at a first device associated with a first user: capturing a first video feed; representing constellations of facial landmarks, detected in the first video feed, in a first feed of facial landmark containers; and transmitting the first feed of facial landmark containers to a second device. The method further includes, at the second device associated with a second user: accessing a first face model representing facial characteristics of the first user; accessing a synthetic face generator; transforming the first feed of facial landmark containers and the first face model into a first feed of synthetic face images according to the synthetic face generator; and rendering the first feed of synthetic face images.

Abstract: Embodiments relate to an intelligent computer platform to support natural language (NL) processing. The request is analyzed and a lexical answer type (LAT) related to the received request is identified. A knowledge graph (KG) related to the LAT is identified and leveraged to extract a first concept related to the LAT and a second concept related to the first concept. First and second clusters are created, with the first cluster having the LAT and first concept as qualifiers, and the second cluster having the first and second concepts as qualifiers. Each of the formed clusters is populated with one or more documents. An inter-cluster assessment is conducted based on the relevancy of the populated document(s) to the received input. In addition, a machine learning model (MLM) corresponding to the KG is identified and utilized to selectively augment the MLM with the LAT, first and second concepts, and a corresponding relationship to the inter-cluster assessment.

Abstract: This document describes a method for preparing narrative content, particularly for presentation as a multi-sensory experience including audio and visual effects and the like. The method involves stripping details from the narrative content and replacing some of them with sensory effects so as to avoid providing too much detail. The method should enable content designers to better adapt content to be expressed on modern storytelling devices. A system is described to assist with the transformation and suggested output devices are also presented.

Abstract: Systems, devices, and methods of the present invention relate to detecting a request for explanation in text. In an example, a method creates a discourse tree from a subset of text. The discourse tree includes nodes, each nonterminal node representing a rhetorical relationship between two of the fragments and each terminal node of the nodes of the discourse tree is associated with one of the fragments. The method forms a communicative discourse tree from the discourse tree by matching each fragment that has a verb to a verb signature. The method further identifies that the subset of text comprises a request for an explanation by applying a classification model trained to detect a request for an explanation to the communicative discourse tree.

Abstract: A videoconference apparatus and method coordinates a stationary view obtained with a stationary camera to an adjustable view obtained with an adjustable camera. The stationary camera can be a web camera, while the adjustable camera can be a pan-tilt-zoom camera. As the stationary camera obtains video, participants are detected and localized by establishing a static perimeter around a participant in which no motion is detected. Thereafter, if no motion is detected in the perimeter, any personage objects such as head, face, or shoulders which are detected in the region bounded by the perimeter are determined to correspond to the participant.