Abstract: A method and an electronic device for translating a speech signal between a first language and a second language with minimized translation delay by translating fewer than all words of the speech signal according to a level of understanding of the second language by a user that receives the translation.

Abstract: A speech recognition method and apparatus for performing speech recognition in response to an activation word determined based on a situation are provided. The speech recognition method and apparatus include an artificial intelligence (AI) system and its application, which simulates functions such as recognition and judgment of a human brain using a machine learning algorithm such as deep learning.

Abstract: An example user terminal apparatus includes communication circuitry configured to be connected to a home network comprising a plurality of devices; a display configured to display a UI screen for managing the home network; a sensor configured to sense a user manipulation of the UI screen; and processing circuitry configured to change the UI screen displayed on the display according to the user manipulation. The UI screen is one of a plurality of service pages that are changeable according to a user manipulation in a first direction, the plurality of service pages being pages for respectively providing different home network management services. At least one of the plurality of service pages comprises an area that is displayable on the display according to a user manipulation in a second direction.

Abstract: Disclosed is an electronic device. The electronic device includes a processor configured to execute one or more instructions stored in a memory to: control a receiver to receive a speech signal; determine whether the received speech signal includes speech signals of a plurality of different speakers; when the received speech signal includes the speech signals of the plurality of different speakers, detect feature information from a speech signal of each speaker; determine relations between pieces of speech content of the plurality of different speakers, based on the detected feature information; determine a response method based on the determined relations between the pieces of speech content; and control the electronic device such that an operation of the electronic device is performed according to the determined response method.

Abstract: Provided are an audio reconstruction method and device for providing improved sound quality by reconstructing a decoding parameter or an audio signal obtained from a bitstream, by using machine learning. The audio reconstruction method includes obtaining a plurality of decoding parameters of a current frame by decoding a bitstream, determining characteristics of a second parameter included in the plurality of decoding parameters and associated with a first parameter, based on the first parameter included in the plurality of decoding parameters, obtaining a reconstructed second parameter by applying a machine learning model to at least one of the plurality of decoding parameters, the second parameter, and the characteristics of the second parameter, and decoding an audio signal, based on the reconstructed second parameter.

Abstract: Disclosed is an electronic device. The electronic device includes a processor configured to execute one or more instructions stored in a memory to: control a receiver to receive a speech signal; determine whether the received speech signal includes speech signals of a plurality of different speakers; when the received speech signal includes the speech signals of the plurality of different speakers, detect feature information from a speech signal of each speaker; determine relations between pieces of speech content of the plurality of different speakers, based on the detected feature information; determine a response method based on the determined relations between the pieces of speech content; and control the electronic device such that an operation of the electronic device is performed according to the determined response method.

Abstract: A method and an electronic device for translating a speech signal between a first language and a second language with minimized translation delay by translating fewer than all words of the speech signal according to a level of understanding of the second language by a user that receives the translation.

Abstract: Provided is an artificial intelligence (AI) system which simulates the functions of a human brain, such as recognition, judgement, etc., by using a machine learning algorithm, such as deep learning, and applications thereof.

Abstract: Disclosed is an electronic apparatus. The electronic apparatus includes a storage for storing a plurality of filters trained in a plurality of convolutional neural networks (CNNs) respectively and a processor configured to acquire a first spectrogram corresponding to a damaged audio signal, input the first spectrogram to a CNN corresponding to each frequency band to apply the plurality of filters trained in the plurality of CNNs respectively, acquire a second spectrogram by merging output values of the CNNs to which the plurality of filters are applied, and acquire an audio signal reconstructed based on the second spectrogram.

Abstract: A method and an electronic device for translating a speech signal between a first language and a second language with minimized translation delay by translating fewer than all words of the speech signal according to a level of understanding of the second language by a user that receives the translation.

Abstract: An example user terminal apparatus includes communication circuitry configured to be connected to a home network comprising a plurality of devices; a display configured to display a UI screen for managing the home network; a sensor configured to sense a user manipulation of the UI screen; and processing circuitry configured to change the UI screen displayed on the display according to the user manipulation. The UI screen is one of a plurality of service pages that are changeable according to a user manipulation in a first direction, the plurality of service pages being pages for respectively providing different home network management services. At least one of the plurality of service pages comprises an area that is displayable on the display according to a user manipulation in a second direction.

Abstract: An example user terminal apparatus includes communication circuitry configured to be connected to a home network comprising a plurality of devices; a display configured to display a UI screen for managing the home network; a sensor configured to sense a user manipulation of the UI screen; and processing circuitry configured to change the UI screen displayed on the display according to the user manipulation. The UI screen is one of a plurality of service pages that are changeable according to a user manipulation in a first direction, the plurality of service pages being pages for respectively providing different home network management services. At least one of the plurality of service pages comprises an area that is displayable on the display according to a user manipulation in a second direction.

Abstract: A speech recognition method and apparatus for performing speech recognition in response to an activation word determined based on a situation are provided. The speech recognition method and apparatus include an artificial intelligence (AI) system and its application, which simulates functions such as recognition and judgment of a human brain using a machine learning algorithm such as deep learning.

Abstract: Disclosed is an electronic device. The electronic device includes a processor configured to execute one or more instructions stored in a memory to: control a receiver to receive a speech signal; determine whether the received speech signal includes speech signals of a plurality of different speakers; when the received speech signal includes the speech signals of the plurality of different speakers, detect feature information from a speech signal of each speaker; determine relations between pieces of speech content of the plurality of different speakers, based on the detected feature information; determine a response method based on the determined relations between the pieces of speech content; and control the electronic device such that an operation of the electronic device is performed according to the determined response method.

Abstract: A speech recognition method and apparatus for performing speech recognition in response to an activation word determined based on a situation are provided. The speech recognition method and apparatus include an artificial intelligence (AI) system and its application, which simulates functions such as recognition and judgment of a human brain using a machine learning algorithm such as deep learning.

Abstract: 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.

Abstract: Provided is a method of providing information about content, performed by a mobile device, the method including detecting an electronic device displaying the content, determining whether at least one search application is executed on the mobile device, as the electronic device is detected, transmitting a request for recognition information indicating at least one object related to the content to the electronic device, as the at least one search application is executed, and receiving the requested recognition information from the electronic device.

Abstract: Provided is a method of recognizing text in a terminal, the method including generating first tag information about a kind of language set in a user interface (UI) for inputting text and a location of a cursor at a time point when a text input has started, when the UI for inputting text displayed on the terminal is executed; when a language switch request that requests the terminal to switch the kind of language set in the UI is received, generating second tag information about a kind of switched language and a location of the cursor at a time point of receiving the language switch request; when the text input is finished, storing a screen image of the terminal; and recognizing the text input to the terminal based on at least one piece of tag information and the screen image.

Abstract: Provided is an artificial intelligence (AI) system which simulates the functions of a human brain, such as recognition, judgement, etc., by using a machine learning algorithm, such as deep learning, and applications thereof.

Abstract: A method, performed by a device, of providing security content includes receiving a touch and drag input indicating that a user drags a visual representation of a first application displayed on a touch screen of the device to a fingerprint recognition area while the user touches the visual representation of the first application with a finger; performing authentication on a fingerprint of the finger detected on the touch screen using a fingerprint sensor included in the fingerprint recognition area; and when the performing authentication on the fingerprint is successful, displaying the security content associated with the first application on an execution window of the first application.