Abstract: An information processing system includes circuitry to determine whether to change a data amount of contents data including audio data, to be transmitted among a plurality of devices disposed in the information processing system, based on a communication delay time required for communication among the plurality of devices, and adjust a data amount of data other than the audio data among the contents data based on the communication delay time.

Abstract: Embodiments of the present disclosure provide a voiceprint registration method, a server and a storage medium. The method may include: acquiring present speech information collected by a smart device; extracting a present voiceprint feature of the present speech information; determining whether the present voiceprint feature is a voiceprint feature associated with the smart device; and determining the present voiceprint feature as a user identification associated with the smart device to determine the present voiceprint feature as the voiceprint feature associated with the smart device, in response to determining that the present voiceprint feature is not the voiceprint feature associated with the smart device.

Abstract: Methods, systems and articles of manufacture for a wearable electronic device having an audio source identifier are disclosed. Example audio source identifiers disclosed herein include first and second audio sensors disposed at first and second locations, respectively, on a wearable electronic device. Such audio source identifiers also include a phase shift determiner to determine a phase shift between a first sample of first audio captured at the first audio sensor and a second sample of the first audio captured at the second audio sensor. The first audio includes first speech generated by a first speaker wearing the wearable electronic device. Example audio source identifiers further include a speaker identifier to determine, based on the phase shift determined by the phase shift determiner, whether second audio includes speech generated by a second speaker wearing the wearable electronic device.

Abstract: Methods and systems for controlling a portable computing device (“PCD”) are disclosed. In an example method, an always on processor (AoP) of a voice recognition module of the PCD receives a voice command. The AoP determines, without decoding the received voice command, that the received voice command corresponds to a previously determined keyword. The AoP retrieves context data associated with the previously determined keyword. The AoP acts on the voice command using the context data, including in some embodiments automatically triggering a fast dormancy of a communications channel.

Abstract: Systems and methods for selecting a virtual assistant are provided. An example system may include at least one memory device storing instructions and at least one processor configured to execute the instructions to perform operations that may include receiving a request from a user for a response, and identifying characteristics of the user based on the user request. The operations may also include determining a type of the user request and based on the determined type of the user request and the identified user characteristics, configuring a virtual assistant to interact with the user through at least one of synthesized speech or visual signals. The operations may also include providing the virtual assistant to interact with the user.

Abstract: The invention provides a method and apparatus comprising at least one processor; at least one memory including computer program code, at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform identification of music data or other audio metadata played on an iOS device.

Abstract: A communication apparatus includes: a first type communication unit configured to perform communication with a portable device in a near field communication mode; a display unit; and a control device configured to perform: a receiving process of receiving a radio wave for connection with the portable device in the near field communication mode, from the portable device through the first type communication unit; and a display process of controlling the display unit to display a notice for prompting a user to perform operation for permitting the portable device to transmit information to the communication apparatus in the near field communication mode, in response to receipt of the radio wave in the receiving process.

Abstract: A voice activity detection (VAD) system includes an input processing module configured to receive an acoustic signal, convert the acoustic signal into an analog signal, and subsequently, a digital signal; an energy-based detection module configured to receive one of the analog/digital signals and determine a sound activity decision; an area-function-based detection module configured to derive an area-related function from the digital signal and use a machine learning method to output an area-based decision according to the area related function; and a VAD decision module configured to make a final VAD decision based on the sound activity decision from the energy-based detection module and the area-based decision from the area-function-based detection module.

Abstract: A computer-implemented method includes detecting a first set and a second set of citations to a legal case in a plurality of legal documents and a first legal document distinct from the plurality of legal documents, respectively. The computer-implemented method further includes determining tones corresponding to each citation in the first and second sets of citations. The computer-implemented method further includes determining a score for each tone in the first and second sets of tones. The computer-implemented method further includes aggregating a first and subset and a second of the first and second sets of citations, respectively. The computer-implemented method further includes generating an average score for the first and second subsets. The computer-implemented method further includes determining a degree of similarity between the first and second subsets based, in part, on a comparison of average scores. A corresponding computer program product and computer system are also disclosed.

Abstract: On a touch-panel display of an image forming apparatus, which is divided to five areas, that is, a system area, a function selection area, a preview area, an action panel area and a task trigger area, pieces of information are displayed. Even if an operational mode is switched, the same or similar information is always displayed in the area arranged at the same position. In the task trigger area, software buttons operated by the user for actually operating the image forming apparatus are displayed.

Abstract: Headsets having corresponding audio adapters and methods comprise: a microphone configured to generate analog audio for a voice call; an analog-to-digital converter configured to convert the analog audio to digital audio; a voice activity detector configured to detect speech in the digital audio; a processor configured to i) determine a temporal characteristic of the speech, and ii) generate a message based on the temporal characteristic of the speech and a temporal characteristic of the voice call; and a transmitter configured to transmit the message.

Abstract: Provided are a method and electronic device for voice translation. The electronic device includes a voice receiver configured to receive a voice signal; a processor configured to divide the voice signal into a plurality of voice segments, determine an input language and a speaker that correspond to each of the plurality of voice segments, determine a translation direction based on the input language and the speaker of the voice segments, and translate the voice segments according to the translation direction to generate a translation result; and an output device configured to output the translation result.

Abstract: Provided herein is a system, method, and computer program product for modifying a language conversation model of the language learning system. Modifying the language conversation model includes receiving, using a conversational sub-system, voice inputs. The conversational sub-system converts the voice inputs to voice input data and processes the voice input data. The conversational sub-system detects an error in processing the voice input data and, based at least in part on the error, stores additional data comprising additional voice input data in a memory. The conversational sub-system applies machine learning to the additional data to derive a function that is not enabled within the language conversation model. The conversational sub-system develops an update that enables the language conversation model to implement the function. The update is applied to the language conversation model.

Abstract: A speech recognition method acquires sound information via multiple microphones, detects a sound source interval including sound from the sound information, acquires an estimated direction of speech by conducting direction estimation on a speech interval from among the sound source interval, conducts an adaptation process of using the sound information to estimate filter coefficients, decides a buffer size of the sound information to hold in a buffer, based on sound source interval information, estimated direction information, and adaptation process convergence state information, holds the sound information in the buffer according to the buffer size, conducts a beamforming process using the sound information held in the buffer and the filter coefficients to acquire speech information, and conducts speech recognition on the speech information acquired by the beamforming process.

Abstract: A computer receives a plurality of text and determines a concept is present in the plurality of text. The computer determines a set of hypotheses for the determined concept, wherein the set of hypotheses is a plurality of natural language representations of the determined concept. The computer substitutes the determined concept in the plurality of text with a hypothesis from the determined set of hypotheses. The computer determines the hypothesis is valid based on analyzing the plurality of text with a neural network, wherein the neural network is trained for hypothesis validation. Based on determining that the hypothesis is valid, the computer storing the plurality of text with the determined hypothesis in place of the substituted concept and displays the stored plurality of text.

Abstract: An information processing system includes a first display control unit and a second display control unit. The first display control unit displays, on a display unit, a button on which a setting value of a program is displayed. The second display control unit starts up the program when the button is pressed and, in accordance with the started program, displays, on the display unit, a setting screen that corresponds to the button being pressed.

Abstract: According to some aspects, disclosed methods and systems may include having a user input one or more speech commands into an input device of a user device. The user device may communicate with one or more components or devices at a local office or headend. The local office or the user device may transcribe the speech commands into language transcriptions. The local office or the user device may determine a mood for the user based on whether any of the speech commands may have been repeated. The local office or the user device may determine, based on the mood of the user, which content asset or content service to make available to the user device.

Abstract: A computing device can receive at least one document including text segments. The computing device can determine a characteristic pattern associated with a first text segment of the text segments and determine an association between the first text segment and a first individual class of a model based at least in part on the characteristic pattern. The computing device can determine a collection of classes of the model associated with the at least one document based at least in part on the association, and determine an actionable item associated with the at least one document based at least in part on the collection and at least one grammar pattern. The computing device can present or transmit an indication of the actionable item. In some examples, the computing device can arrange actionable items in an order based at least in part on occurrences of the actionable items from multiple documents.

Abstract: A white noise generating apparatus for stress relaxation and concentration improvement includes: a headset including a microphone for outputting the voice to a communication line, a sound outputting unit for outputting the voice inputted from the communication line, and a sensing unit which is capable of sensing at least one of a pulse wave, a skin current, a skin temperature, and a white noise generator including a stress calculating unit for calculating a stress index from the voice outputted from the microphone, a white noise generating unit for generating white noise and outputting same to the sound output unit, and a control unit for controlling the white noise generating unit to output white noise sound in accordance with the stress index calculated from the stress calculating unit so that the stress level may be normal.

Abstract: According to one embodiment, a computer program product for denoising a signal comprises a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, and where the program instructions are executable by a processor to cause the processor to perform a method comprising creating, utilizing a processor, a clean dictionary, utilizing a clean signal, creating, utilizing the processor, a noisy dictionary, utilizing a first noisy signal, determining, utilizing the processor, a time varying projection, utilizing the clean dictionary and the noisy dictionary, and denoising, utilizing the processor, a second noisy signal, utilizing the time varying projection.