G10L15/22

ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF

An electronic apparatus includes: a memory storing one or more commands; and a processor connected to the memory and configured to control the electronic apparatus, wherein the processor is configured, by executing the one or more instructions, to: identify a first intention word and a first target word from first speech, acquire second speech received after the first speech based on at least one of the identified first intention word or the identified first target word not matching a word stored in the memory, acquire a similarity between the first speech and the second speech, and acquire response information based on the first speech and the second speech based on the similarity being a threshold value or more.

ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF

An electronic apparatus includes: a memory storing one or more commands; and a processor connected to the memory and configured to control the electronic apparatus, wherein the processor is configured, by executing the one or more instructions, to: identify a first intention word and a first target word from first speech, acquire second speech received after the first speech based on at least one of the identified first intention word or the identified first target word not matching a word stored in the memory, acquire a similarity between the first speech and the second speech, and acquire response information based on the first speech and the second speech based on the similarity being a threshold value or more.

DIGITAL ASSISTANT REFERENCE RESOLUTION

Systems and processes for operating a digital assistant are provided. An example process for performing a task includes, at an electronic device having one or more processors and memory, receiving a spoken input including a request, receiving an image input including a plurality of objects, selecting a reference resolution module of a plurality of reference resolution modules based on the request and the image input, determining, with the selected reference resolution module, whether the request references a first object of the plurality of objects based on at least the spoken input, and in accordance with a determination that the request references the first object of the plurality of objects, determining a response to the request including information about the first object.

DIGITAL ASSISTANT REFERENCE RESOLUTION

Systems and processes for operating a digital assistant are provided. An example process for performing a task includes, at an electronic device having one or more processors and memory, receiving a spoken input including a request, receiving an image input including a plurality of objects, selecting a reference resolution module of a plurality of reference resolution modules based on the request and the image input, determining, with the selected reference resolution module, whether the request references a first object of the plurality of objects based on at least the spoken input, and in accordance with a determination that the request references the first object of the plurality of objects, determining a response to the request including information about the first object.

UPDATING MEDIA DEVICES IN A LOCAL NETWORK WITH A CLIENT-SERVER ARCHITECTURE
20230052217 · 2023-02-16 ·

Systems, methods, and non-transitory, machine-readable media to facilitate updating media devices in a local network with a client-server architecture are disclosed. A primary media device may be configured to operate as a server in a local network, receive audio/video (A/V) content via an Internet connection and/or a satellite network connection, serve the A/V content to a set of one or more secondary media devices for display with at least one television of a set of one or more televisions, and receive a set of one or more software updates via the Internet connection, a Universal Serial Bus (USB) connection, and/or the satellite network connection. One or more software updates of the set of one or more software updates may be specified for, and may be transferred to, the set of one or more secondary media devices.

ELECTRONIC DEVICE AND METHOD OF CONTROLLING THEREOF

Disclosed is an electronic device. The electronic device may execute an application for transmitting and receiving at least one of text data or voice data with another electronic device using the communication module, in response to occurrence of at least one event, based on receiving at least one of text data or voice data from the another electronic device, identify that a confirmation is necessary using the digital assistant based on at least one of text data or voice data being generated based on a characteristic of ab utterance using a digital assistant, generate a notification to request confirmation using the digital assistant based on confirmation being necessary, and output the notification using the application.

A method for identifying that a confirmation is necessary may include identifying using voice data or text data that is received from another electronic device using a rule-based or AI algorithm.

When a confirmation is necessary is identified using the AI algorithm, the method may use machine learning, neural network, or a deep learning algorithm.

ELECTRONIC DEVICE AND METHOD OF CONTROLLING THEREOF

Disclosed is an electronic device. The electronic device may execute an application for transmitting and receiving at least one of text data or voice data with another electronic device using the communication module, in response to occurrence of at least one event, based on receiving at least one of text data or voice data from the another electronic device, identify that a confirmation is necessary using the digital assistant based on at least one of text data or voice data being generated based on a characteristic of ab utterance using a digital assistant, generate a notification to request confirmation using the digital assistant based on confirmation being necessary, and output the notification using the application.

A method for identifying that a confirmation is necessary may include identifying using voice data or text data that is received from another electronic device using a rule-based or AI algorithm.

When a confirmation is necessary is identified using the AI algorithm, the method may use machine learning, neural network, or a deep learning algorithm.

Discrete Three-Dimensional Processor

A discrete three-dimensional (3-D) processor comprises first and second dice. The first die comprises 3-D random-access memory (3D-RAM) arrays, whereas the second die comprises logic circuits and at least an off-die peripheral-circuit component of the 3D-RAM arrays. The first die does not comprise the off-die peripheral-circuit component of the 3D-RAM arrays.

Discrete Three-Dimensional Processor

A discrete three-dimensional (3-D) processor comprises first and second dice. The first die comprises 3-D random-access memory (3D-RAM) arrays, whereas the second die comprises logic circuits and at least an off-die peripheral-circuit component of the 3D-RAM arrays. The first die does not comprise the off-die peripheral-circuit component of the 3D-RAM arrays.

VOICE CALL CONTROL METHOD AND APPARATUS, COMPUTER-READABLE MEDIUM, AND ELECTRONIC DEVICE
20230051413 · 2023-02-16 ·

Embodiments of this application provide a real-time voice call control method performed by an electronic device. The method includes: obtaining a mixed call voice in real time during a cloud conference call, where the mixed call voice includes at least one branch voice; determining energy information corresponding to each frequency point of the call voice in a frequency domain; determining an energy proportion of each branch voice at each frequency point in total energy of the frequency point based on the energy information at the frequency point; determining a quantity of branch voices comprised in the call voice based on the energy proportion of each branch voice at each frequency point; and controlling the voice call by setting a call voice control manner based on the quantity of branch voices.