Abstract: The method S200 can include: at an aircraft, receiving an audio utterance from air traffic control S210, converting the audio utterance to text, determining commands from the text using a question-and-answer model S240, and optionally controlling the aircraft based on the commands S250. The method functions to automatically interpret flight commands from the air traffic control (ATC) stream.

Abstract: Disclosed is gathering a user's speech samples. According to an embodiment of the disclosure, a method of gathering learning samples may gather a speaker's speech data obtained while talking on a mobile terminal and text data generated from the speech data and gather training data for generating a speech synthesis model. According to the disclosure, the method of gathering learning samples may be related to artificial intelligence (AI) modules, unmanned aerial vehicles (UAVs), robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.

Abstract: A system is configured to provide a survey interface that collects response data, including both quantitative and qualitative response data, using multiple capture mediums. Mediums used to capture response data include input forms that collect structured response data on particular questions, as well as multimedia input forms that capture and collect free form multimedia response data in video form. This mix of quantitative and qualitative response data is analyzed across multiple modalities and used to develop an indexed response dataset, which may be queried to determine a set of pre-configured insights. An insight interface visualizes these pre-configured insights and accepts additional queries to provide a query interface that draws from the static indexed response dataset to allow for dynamic, conversational querying for additional insights.

Abstract: Systems and methods for an intelligent virtual assistant for meetings are disclosed. In one embodiment, a system for an intelligent virtual assistant for meeting may include a server comprising at least one computer processor executing a virtual assistant computer program; a communication server in communication with the server; and a plurality of communication devices in communication with the server and the communication server, wherein the communication server facilitates an electronic meeting with a plurality of attendees via the plurality of communication devices. The virtual assistant may receive at least an audio feed and a video feed of the electronic meeting in real-time, may transcribe the audio feed using a speech-recognition algorithm, may provide the transcription to at least one of the plurality of attendees, may receive an edited transcription, and may update the speech recognition algorithm based on the edited transcription.

Abstract: A dialogue system includes: a storage configured to store a parameter tree including at least one parameter used for performing an action; a speech input device configured to receive speech from a user; an input processor configured to apply a natural language understanding algorithm to the received speech to generate a speech recognition result; a dialogue manager configured to determine an action corresponding to the received speech based on the speech recognition result, to retrieve a parameter tree corresponding to the action from the storage, and to determine additional information needed to perform the action based on the retrieved parameter tree; and a result processor configured to generate a dialogue response for requesting the additional information.

Abstract: Described herein are techniques for generating natural language text customized to linguistic preferences of a user. Customizing the generation of natural language text to the linguistic preference of a user can significantly improve the overall user experience. Some embodiments relate to techniques for learning the linguistic preferences of a user, and for assisting NLG systems to generate natural text that reflects more closely the linguistic preferences of the user. A linguistic preference learner can present different natural language options to a user, and can ask the user to select the option that or appears to reflect more closely the user's personal linguistic preferences. The Linguistic preference learner may determine, based on the user selection, information relating to what linguistic characteristics the user appears to prefer.

Abstract: The exemplary embodiments described herein are related to techniques for automatically generating narratives about data based on communication goal data structures that are associated with configurable content blocks. The use of such communication goal data structures facilitates modes of operation whereby narratives can be generated in real-time and/or interactive manners.

Abstract: A real-time speech-to-speech generator and sign gestures converter system is disclosed. The system is still challenging for deaf or hearing impaired people. Embodiments of the invention provide direct speech to speech translation system and further conversion to sign gestures is disclosed. Direct speech to speech translation and further sign gesture conversion uses a one-tier approach, creating a unified-model for whole application. The single-model ecosystem takes in audio (MEL spectrogram) as an input and gives out audio (MEL spectrogram) as an output to a speech-sign converter device with a display. This solves the bottleneck problem by converting the translated speech directly to sign language gesture from first language with emotion by preserving phonetic information along the way. This model needs parallel audio samples in two languages.

Abstract: In some embodiments, methods and systems are provided for processing information requests of workers at a retail facility and retrieving information associated with the retail facility based on the information requests. An electronic device permits a worker at the retail facility to input an information request in association with at least one worker at the retail facility or at least one product at the retail facility. A computing device receives, from the electronic device, electronic data representative of a scope of the information request, analyzes this electronic data to determine the scope of the information request, obtain relevant information from one or more databases, and transmits the obtained information to the electronic device, which in turn outputs the information to the worker.

Abstract: Audio qualities of a call and of a call recording are identified and compared to authenticate the call recording as a true representation of the call. A call is enabled between two or more participants, and the call is recorded to generate a call recording. The call recording is authenticated based on a match between information determined during the call and information determined during the call recording. In some cases, the call recording is authenticated based on a match between audio scores for the call recording and audio scores for the call. In some cases, the call recording is authenticated based on a match between audio watermarks included within the call recording and audio watermarks included within the call. An indication of the authentication is then output, such as for further processing or display.

Abstract: A computer evaluates free-form text messages among members of a team, using natural language processing techniques to process the text messages and to assess psychological state of the team members as reflected it the text messages. The computer assembles the psychological state as reflected in the messages to evaluate team collective psychological state. The computer reports a trend of team collective psychological state in natural language text form.

Abstract: A question answering device includes: a reception unit configured to receive speech which is uttered in a vehicle; a generation unit configured to generate a character string which is indicated by the speech based on speech recognition; a first acquisition unit configured to acquire an answer to a question indicated by the character string; a second acquisition unit configured to acquire control information for localizing speech of the answer at a position associated with the answer in the vehicle; and an output unit configured to output the control information.

Abstract: Embodiments relate to an intelligent computer platform to identify and evaluate candidate passage response data in natural language form. Natural language processing is applied to analyze a passage against one or more input tokens to identify matching content. A structure representing the analyzed passage is populated with matching input and passage tokens. A first count of matching token entries and a second count of evaluated token entries are determined and qualified by closeness criteria. An alignment of the passage to a candidate question is calculated, including assessing a ratio of the first and second counts as a confidence value. Matching passage data is returned from the passage with the confidence value.

Abstract: A system, method, and computer-readable medium are disclosed for improved audio collection of website ambient data. In various embodiments, when a user visits a website, audio data is collected during a website browsing session. The audio data is converted to text by Natural Language Processing (NLP) enabled device used for browsing. From the text, certain key words are identified that are relevant to a business. The identified key words can be analyzed per requirements of the business.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform receiving a voice command from a user to perform a virtual action intended to apply to one item of two or more items in a cart of the user; generating a concept vector representing a concept in the voice command; transforming the respective item attributes for each of the two or more items into a respective feature vector; generating a respective candidate score for the each of the two or more items; identifying the one item to which the voice command is intended to apply; and executing an action with respect to the one item based on the voice command. Other embodiments are disclosed.

Abstract: There is provided a dialogue system comprising: an input for obtaining an input signal relating to speech or text input provided by a user; an output for outputting speech or text information specified by a determined dialogue act; and a processor configured to: determine dialogue information from the input signal; determine the dialogue act based on the determined dialogue information, wherein determining the dialogue act comprises: selecting a next state from a plurality of states, wherein each of the plurality of states comprises information specifying a dialogue act and transition information specifying a transition to another state, the transitions defining one or more dialogue pathways, wherein selecting the next state comprises selecting a state which is specified by the transition information in a current state or selecting a state which is specified by a rule in a first set of one or more rules.

Abstract: The method S200 can include: at an aircraft, receiving an audio utterance from air traffic control S210, converting the audio utterance to text, determining commands from the text using a question-and-answer model S240, and optionally controlling the aircraft based on the commands S250. The method functions to automatically interpret flight commands from the air traffic control (ATC) stream.

Abstract: A translation method includes: selecting a source word from a source sentence; generating mapping information including location information of the selected source word mapped to the selected source word in the source sentence; and correcting a target word, which is generated by translating the source sentence, based on location information of a feature value of the target word and the mapping information.

Abstract: The system identifies one or more entities or content items among a plurality of stored information. The system generates an audio file based on a first text string that represents the entity or content item. Based on the first text string and at least one speech criterion, the system generating, using a speech-to-text module a second text string based on the audio file. The system then compares the text strings and stores the second text string if it is not identical to the first text string. The system generates metadata that includes results from text-speech-text conversions to forecast possible misidentifications when responding to voice queries during search operations. The metadata includes alternative representations of the entity.

Abstract: Audio qualities of a call and of a call recording are identified and compared to authenticate the call recording as a true representation of the call. A call is enabled between two or more participants, and the call is recorded to generate a call recording. The call recording is authenticated based on a match between information determined during the call and information determined during the call recording. In some cases, the call recording is authenticated based on a match between audio scores for the call recording and audio scores for the call. In some cases, the call recording is authenticated based on a match between audio watermarks included within the call recording and audio watermarks included within the call. An indication of the authentication is then output, such as for further processing or display.