Lg Electronics Inc.

Vuno, Inc.

Yonsei University

Sangki Kim

Sungmin Han

Siyoung Yang

Yongchul Park

Juyeong Jang

Minook Kim

Soungmin Im

Taehyeong Kim

Yongwon Cho

Kyungyoung Lim

Sunjin Yu

Sungjin Kim

Mingoo Kang

Hyun-Jun Kim

Yeha Lee

Kyuhwan Jung

Soungsoo Park

Jonghoon Chae

Sunghoon Lee

Byunghwa Lee

Choonghwan Shin

Junhee Yeo

Chul Han Park

Wonho Shin

Sungeun Lee

Kamin Lee

Jong Hoon Chae

Jinho Cho

Sungmin Baek

Sang Ki Kim

Soo-Hong Lee

Minjoo Chung

Dae-Eun Kim

Hwansik Yun

Hyebin Kim

Minjeong Shin

Kiwoong Kim

Min Hyuk Woo

Chul Woo Park

Jeonggyu Lee

Hyun-Tae Hwang

Heungryong Jee

Hojoon Son

Provided is a speech synthetic device capable of outputting a synthetic voice having various speech styles. The speech synthesis device includes a speaker, and a processor to acquire voice feature information through a text and a user input; generate a synthetic voice, by receiving the text and the voice feature information inputs into a decoder supervised-trained to minimize a difference between feature information of a learning text and characteristic information of a learning voice, and output the generated synthetic voice through the speaker.

Speech synthesis device and speech synthesis method

An artificial intelligence device includes a memory and a processor. The memory is configured to store audio data having a predetermined speech style. The processor is configured to generate a condition vector relating to a condition for determining the speech style of the audio data, reduce a dimension of the condition vector to a predetermined reduction dimension, acquire a sparse code vector based on a dictionary vector acquired through sparse dictionary coding with respect to the condition vector having the predetermined reduction dimension, and change a vector element value included in the sparse code vector.

Artificial intelligence device and method for generating speech having a different speech style

Disclosed is a device for controlling a plurality of voice recognition devices for determining and selecting a first voice recognition device that a user wants to use based on a point in time when the voice of the user is spoken or a place where the user spoke the voice. The device for controlling a plurality of voice recognition devices according to the present disclosure may be associated with an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G service, etc.

Device, system and method for controlling a plurality of voice recognition devices

A method and apparatus for controlling a device according to an embodiment of the present disclosure may be based on a speech feature of a user reflecting the Lombard effect so as to operate a device located far away from the user, among a plurality of electronic devices. As such, even when the user calls a device located far away from the user without any separate context information, speech recognition neural networks and weight calculation neural networks may be selected and used to operate the device located far away from the user, and reception of a speech signal of the user calling a device located far away from the user may be performed in an Internet of Things (IoT) environment using a 5G network.

Method and apparatus for controlling device located a distance away from a user

According to one embodiment, an apparatus for processing a voice signal includes a display configured to display an image of a user or a character corresponding to the user, a microphone, a speaker configured to output a voice signal of the user, a memory configured to store a trained voice age conversion model, and a processor configured to, based on changing an age of the user or the character displayed on the display, control the display such that the display displays the user or the character corresponding to the changed age. The processor is further configured to determine a first age that is a current age of the user or the character based on the voice signal of the user inputted through the microphone. Accordingly, convenience of a user may be enhanced.

Apparatus for voice-age adjusting an input voice signal according to a desired age

A method includes generating first synthesized speech by using text and a first emotion vector configured for the text, extracting a second emotion vector included in the first synthesized speech, determining whether correction of the second emotion information vector is needed by comparing a loss value calculated by using the first emotion information vector and the second emotion information vector with a preconfigured threshold, re-performing speech synthesis by using a third emotion information vector generated by correcting the second emotion information vector, and outputting the generated synthesized speech, thereby configuring emotion information of speech in a more effective manner. A speech synthesis apparatus may be associated with an artificial intelligence module, drone (unmanned aerial vehicle, UAV), robot, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G services, and the like.

Method for synthesized speech generation using emotion information correction and apparatus

A voice recognition device and a method for learning voice data using the same are disclosed. The voice recognition device combines feature information for various speakers with a text-to-speech function to generate voice data recognized by a voice recognition unit, and can improve voice recognition efficiency by allowing the voice recognition unit itself to learn various voice data. The voice recognition device can be associated with an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

Voice recognition device and method for learning voice data

An electronic device is disclosed. The electronic device includes a memory and a processor. The electronic device may execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm, and perform communications with other electronic devices in a 5G communication network. Accordingly, user convenience can be significantly improved.

Electronic apparatus and method for operating the same

Disclosed is gathering a user's speech samples. According to an embodiment of the disclosure, a method of gathering learning samples may gather a speaker's speech data obtained while talking on a mobile terminal and text data generated from the speech data and gather training data for generating a speech synthesis model. According to the disclosure, the method of gathering learning samples may be related to artificial intelligence (AI) modules, unmanned aerial vehicles (UAVs), robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.

Gathering user's speech samples

Disclosed is speech synthesis in a noisy environment. According to an embodiment of the disclosure, a method of speech synthesis may generate a Lombard effect-applied synthesized speech using a feature vector generated from an utterance feature. According to the disclosure, the speech synthesis method and device may be related to artificial intelligence (AI) modules, unmanned aerial vehicles (UAVs), robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.

Speech synthesis in noisy environment

Discussed is an artificial intelligence (AI)-based voice sampling apparatus for providing a speech style, including a rhyme encoder configured to receive a user's voice, extract a voice sample, and analyze a vocal feature included in the voice sample, a text encoder configured to receive text for reflecting the vocal feature, a processor configured to classify the vocal feature of the voice sample input to the rhyme encoder according to a label, extract an embedding vector representing the vocal feature from the label, and generate a speech style from the embedding vector and apply the generated speech style to the text, and a rhyme decoder configured to output synthesized voice data in which the speech style is applied to the text by the processor.

Artificial intelligence (AI)-based voice sampling apparatus and method for providing speech style

A speech synthesis method and apparatus based on emotion information are disclosed. A speech synthesis method based on emotion information extracts speech synthesis target text from received data and determines whether the received data includes situation explanation information. First metadata corresponding to first emotion information is generated on the basis of the situation explanation information. When the extracted data does not include situation explanation information, second metadata corresponding to second emotion information generated on the basis of semantic analysis and context analysis is generated. One of the first metadata and the second metadata is added to the speech synthesis target text to synthesize speech corresponding to the extracted data. A speech synthesis apparatus of this disclosure may be associated with an artificial intelligence module, drone (unmanned aerial vehicle, UAV), robot, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G services, and the like.

Speech synthesis method and apparatus based on emotion information

According to one embodiment, a method for increasing the reading efficiency of a medical image is provided. The method of increasing the reading efficiency of a medical image comprises of: receiving the gaze information of a user, acquiring a gaze tracking device, during a medical image reading process; determining a region of interest of the user with respect to the medical image by using the gaze information; determining a type of service corresponding to the region of interest; and providing the determined service.

Method for increasing reading efficiency in medical image reading process using gaze information of user and apparatus using the same

The present invention provides a smart device, which is configured to track the movement of the user's head, and a method for controlling the same. The present invention provides a smart device and a method for controlling the same, the smart device comprising: a body; an output device, which can be attached to/detached from the body, and which is configured to provide multiple reference points in a peripheral space; a camera for acquiring images of the provided reference points; and a control device configured to track the movement of the smart device using the acquired images.

Smart device and method for controlling same

The present invention relates to a mobile terminal capable of providing path information, and a control method therefor. The mobile terminal according to one embodiment of the present invention comprises: a camera; and a control unit for activating, if an event occurs, the camera, detecting whether the mobile terminal is in a vehicle-mounted state and whether the vehicle is traveling by using images received through the camera and, if it is determined, according to the detection result, that the vehicle is traveling in a state in which the mobile terminal is mounted on the vehicle, activating a gesture function of controlling the event by recognizing a gesture of a user.

Mobile terminal and control method therefor

Growing community of inventors

Seoul, South Korea

Sangki Kim