Abstract: A method for enhancing telephone speech signals based on Deep Convolutional Neural Network (CNN) is disclosed. The method is able to reduce the effect of acoustic distortions in daily scenarios during a telephone call. It is a single-channel, speech-oriented method with causal design and low latency. The novelty lies in the noise reduction method which, based on the classical gain method, uses a CNN to learn the Wiener estimator. Then, it computes the gain of the filter to enhance the speech power over the noise power for each time-frequency component of the signal. The selection of the Wiener gain estimator as an essential element of the method, decreases the vulnerability to estimation errors since the characteristics of this measure make it very appropriate to be estimated by deep learning approaches.

Abstract: An agent device that receives, from an onboard device installed in a vehicle, vehicle information relating to the vehicle and question information corresponding to a question from a user, based on the vehicle information, confirms a scope of questions for which generation of a response is not possible, and instructs the onboard device to block receipt of questions falling within the scope of questions for which it has been confirmed that response generation is not possible.

Abstract: A voice command can be received from a user. One or more voice command devices (VCDs) that the voice command is targeting can be determined. A visual indicator of each of the one or more targeted VCDs can be displayed on an XR device worn by the user, wherein each visual indicator visually indicates a respective targeted VCD the voice command is directed to on the XR device.

Abstract: Electronic device includes display, microphone, and processor configured to activate voice input function based on user input, display graphic representation for indicating that the voice input function is activated, provide, on the display, a text display area for displaying text inputted by a plurality of user input methods and a keyboard input interface for receiving a user keyboard input, the plurality of user input methods including user keyboard input method and user voice input method, receive, via the keyboard input interface, the user keyboard input corresponding to a first text, display the first text in the text display area based on receiving the user keyboard input, receive user voice input corresponding to a second text while the keyboard input interface is provided and the voice input function is activated, and display the second text next to the first text in the text display area based on the user voice input.

Abstract: A method is provided for generating a ranked list of candidate responders. In some embodiments, the method includes receiving a question from a user and generating a question feature vector representing an intent of the question and a first skill set inferred from the question. The method also includes for one or more candidate responders, generating a candidate feature vector representing a skill set and questions associated with the respective candidate responder; computing a reputation score based on questions and user feedback associated with the respective candidate responder; and computing, based on the question feature vector, candidate feature vector, and reputation score, a probability score representing a prediction of the quality of an answer that would be provided by the respective candidate responder if the input question were routed to the respective candidate responder. The method further includes generating a ranked list of candidate responders using the computed probability scores.

Abstract: An audio signal processing method receives, by a terminal, a backtalk input instruction from a performer, obtains, by a microphone connected to the terminal, voice information from the performer, and outputs, in a case where the backtalk input instruction has been received by the terminal, a backtalk signal corresponding to the voice information obtained by the microphone connected to the terminal to a monitor bus of a mixer.

Abstract: A processor-implemented method includes performing speech recognition of a speech signal, generating a plurality of first candidate sentences as a result of the performing of the speech recognition, identifying a respective named entity in each of the plurality of first candidate sentences, determining a standard expression corresponding to the identified respective named entity using phonemes of the corresponding named entity, determining whether to replace the identified named entity in each of the plurality of first candidate sentences with the determined standard expression based on a similarity between the named entity and the standard expression corresponding to the named entity and determining a plurality of second candidate sentences based on the determination result; and outputting a final sentence selected from the plurality of second candidate sentences.

Abstract: A voice input apparatus includes a voice input device configured to input voice and performs control to, in a case where a second voice instruction for operating the voice input apparatus is input in a predetermined period after a first voice instruction is input to the voice input apparatus, execute processing corresponding to the second voice instruction. The voice input apparatus changes a length of the predetermined period, according to the first voice instruction.

Abstract: Aspects of the disclosure provide a responding method and device, an electronic device and a storage medium. The method is applied to a first electronic device including an audio acquisition component and an audio output component. The method can include acquiring a voice signal through the audio acquisition component, determining whether to respond to the voice signal, and responsive to determining to respond to the voice signal, outputting a first sound signal by the audio output component, the first sound signal being configured to notify at least one second electronic device that the first electronic device responds to the voice signal. In such a manner, an electronic device, responsive to determining to respond to a voice signal, outputs a sound signal to prevent other electronic device(s) from responding to the voice signal, so that competitions between electronic devices are reduced and a user experience is improved.

Abstract: A method comprising detecting an activation of an intelligent assistant on an electronic device, waking up the intelligent assistant from a sleep mode in response to the activation, and determining an amount of vocabulary the intelligent assistant acts upon during a listening mode based on a type of the activation.

Abstract: Methods, systems, and computer-readable storage media for receiving, by a conversation-based search system (CSS) of an analytics system, verbal input from a user, providing, by the CSS, text input based on the verbal input, processing, by the CSS, the text input to determine a set of contexts, each context in the set of context representing one or more operations of an enterprise, determining, by the CSS, one or more insights based on the set of contexts, each insight representative of a performance of the enterprise, and displaying, by the analytics system, a story comprising one or more visualizations, each visualization depicting at least one insight.

Abstract: Methods and apparatus to dynamically generate audio signatures adaptive to circumstances associated with media being monitored are disclosed. An example apparatus includes a media content analyzer to detect a watermark encoded in media monitored by a meter. The apparatus includes a media environment analyzer to estimate an amount of background noise in an environment in which the media is monitored by the meter. The apparatus further includes a signature scheme selector to select a first signature scheme from among a plurality of signature schemes to generate monitored signatures of the media. The first signature scheme is selected based on the amount of background noise. The apparatus also includes a signature generator to generate a first monitored signature of the media based on the first signature scheme.

Abstract: In an approach for optimizing an intelligent virtual assistant by using phonetic comparison to find a response stored in a local database, a processor receives an audio input on a computing device. A processor transcribes the audio input to text. A processor compares the text to a set of user queries and commands in a local database of the computing device using a phonetic algorithm. A processor determines whether a user query or command of the set of user queries and commands meets a pre-defined threshold of similarity. Responsive to determining that the user query or command meets the pre-defined threshold of similarity, a processor identifies an intention of a set of intentions stored in the local database corresponding to the user query or command. A processor identifies a response of a set of responses in the local database corresponding to the intention. A processor outputs the response audibly.

Abstract: There is a need for solutions that perform predictive natural language processing with improved efficiency and/or accuracy.

Abstract: There is a need for solutions that perform predictive natural language processing with improved efficiency and/or accuracy.

Abstract: There is a need for solutions that perform predictive natural language processing with improved efficiency and/or accuracy.

Abstract: Method, systems, and apparatus, including computer-readable media, for an interactive interface for analytics. In some implementations, the data is accessed identifying an information card configured to present data objects of a data set. User input data is received indicating user input to enable voice response interaction for the information card or the data set. A voice response application is generated based on the information card, the voice response application being configured to provide responses to voice queries using values for data objects. The voice response application is deployed to enable one or more users to use the voice response application to initiate voice interactions involving the data objects.

Abstract: An electronic device for generating a personalized response from a virtual assistant includes a network communication circuitry; a memory; and at least one processor configured to, when receiving a user query including a wake-word, parse the user query to separate the wake-word from the user query; process the wake-word; extract wake-word related information from a wake-word database; parse the extracted wake-word related information along with a plurality of user preference information; classify information received from a wake-word parser; produce a wake-word context from the classified information; process the user query; and retrieve a query response from at least one knowledge base based on a plurality of action steps.

Abstract: Disclosed herein is an artificial intelligence server which receives a user dictionary, calculates rankings of a plurality of keywords included in the user dictionary, generates a cloud user dictionary according to the rankings of the plurality of keywords, and trains a natural language processing model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining a textual term; determining, by one or more computers, a vector representing a phonetic feature of the textual term; comparing the vector representing the phonetic feature of the textual term with a reference vector representing a phonetic feature of a reference textual term; and classifying the textual term based on the comparing the vector with the reference vector.