A method for use with a computing device is provided. The method may include executing one or more programs of an intelligent digital assistant system at a processor and presenting a user interface to a user. At the processor, the method may include receiving natural language user input from the user, parsing the user input at an intent handler to determine an intent template with slots, populating the slots in the intent template with information from user input, and performing resolution on the intent template to partially resolve unresolved information. If a slot with missing slot information exists in the partially resolved intent template, a loop may be executed at the processor to fill the slots. The method may include, at the processor, determining that all required information is available and resolved and generating a rule based upon the intent template with all required information being available and resolved.

The present group of inventions relates to methods and systems for positioning underwater objects, and more particularly to methods and systems in which satellite signals are received by receivers disposed on sonar buoys, the coordinates of the sonar buoys are determined by means of computation modules on the sonar buoys, location data and identification data are transmitted in the form of sonar signals emitted by transmitters on the sonar buoys, the signals are received with the aid of a receiver disposed on an underwater object, and the coordinates of the underwater object are determined according to the time delay of receipt of the sonar signals from the sonar buoys, the location of which is known. The present solution can be used in simultaneously determining the geographical position of an unlimited number of mobile underwater objects, remotely operated underwater vehicles, divers, marine animals, etc. in motion. According to the invention, signals from the aforementioned sonar buoys are encoded in the form of periodic signals tethered to GPS/GLONASS clocks, all transmitters of the sonar signals are disposed at the same depth, and during decoding of the signals from the sonar buoys, direct signals from the sonar buoys are isolated from reflected signals. The system implements the aforementioned method. The achieved technical result is more accurate positioning of the underwater objects.

Intelligent assistant systems, methods and computing devices are disclosed for resolving alias identifiers. A method comprises receiving and parsing data comprising a current user input that includes an alias identifier. The data and/or other sensor data are analyzed to identify the user. Based at least on identifying the user and recognizing the alias identifier, usage pattern data comprising at least one previous user input that includes the alias identifier and corresponding context information is accessed. The usage pattern data is used to resolve the alias identifier to mean the alias identifier in an alias record of a known entity. Based at least on resolving the alias identifier, an output device is controlled to one or more of generate a message and perform an action with respect to the known entity.

Intelligent assistant systems, methods and computing devices are disclosed for resolving alias identifiers. A method comprises receiving and parsing data comprising a current user input that includes an alias identifier. The data and/or other sensor data are analyzed to identify the user. Based at least on identifying the user and recognizing the alias identifier, usage pattern data comprising at least one previous user input that includes the alias identifier and corresponding context information is accessed. The usage pattern data is used to resolve the alias identifier to mean the alias identifier in an alias record of a known entity. Based at least on resolving the alias identifier, an output device is controlled to one or more of generate a message and perform an action with respect to the known entity.

To address the issues of handling conversations with multiple users, an intelligent digital assistant system is provided. The system may include at least one microphone configured to receive an audio input, a speaker configured to emit an audio output, and a processor. The processor may be configured engage in a conversation with a first user, and, concurrent with the first user being engaged in the conversation with the system, recognize speech of one or more additional users in the audio input. The processor may process the recognized speech of the one or more additional users to determine a context for each additional user, and execute a conversation disentanglement module to select and perform one or more predetermined conversation disentanglement actions according to the context of the recognized speech of each additional user.

To address the issues of handling conversations with multiple users, an intelligent digital assistant system is provided. The system may include at least one microphone configured to receive an audio input, a speaker configured to emit an audio output, and a processor. The processor may be configured engage in a conversation with a first user, and, concurrent with the first user being engaged in the conversation with the system, recognize speech of one or more additional users in the audio input. The processor may process the recognized speech of the one or more additional users to determine a context for each additional user, and execute a conversation disentanglement module to select and perform one or more predetermined conversation disentanglement actions according to the context of the recognized speech of each additional user.

A speech recognition device is provided. The speech recognition device includes at least one microphone configured to receive a sound signal from a first sound source, and at least one processor configured to determine a direction of the first sound source based on the sound signal, determine whether the direction of the first sound source is in a registered direction, and based on whether the direction of the first sound source is in the registered direction, recognize a speech from the sound signal regardless of whether the sound signal comprises a wake-up keyword.

A device can determine its position in a communications system. A scalable solution permits multiple devices to be used in one area without detrimental effect on the accuracy or latency of the position determining. The communications system includes a first base station arranged to transmit a first signal to a second base station arranged receive the first signal and transmit a second signal to the first base station in response The first base station is arranged to receive the second signal and transmit a third signal to the second base station in response to the second signal. delay time measuring unit, round trip time measuring unit, a base station timings unit and a calculating unit are used to calculate a first time difference of arrival based on a first round trip time, first delay time, second round trip time and a second delay time.

Intelligent assistant systems, methods and computing devices are disclosed for training a machine learning-based parser to derive user intents. A method comprises analyzing with a feeder parser a surface form of a user input. A user intent underlying the surface form is derived by the feeder parser. The surface form and the user intent are provided to a machine learning-based parser and used to enhance a training set of the machine learning-based parser.

Intelligent assistant systems, methods and computing devices are disclosed for training a machine learning-based parser to derive user intents. A method comprises analyzing with a feeder parser a surface form of a user input. A user intent underlying the surface form is derived by the feeder parser. The surface form and the user intent are provided to a machine learning-based parser and used to enhance a training set of the machine learning-based parser.