Qualcomm Incorporated

University of California

Squeezebits Inc.

Taesu Kim

Minho Jin

Kyu Woong Hwang

Sungrack Yun

Kisun You

Te-Won Lee

Hyun-Mook Cho

Minsub Lee

Kyuwoong Hwang

Min-Kyu Park

Duck Hoon Kim

Hyung-Il Koo

Duck-hoon Kim

Yongwoo Cho

Jun-Cheol Cho

Sungwoong Kim

Heeman Kim

Ki-Hyun Kim

Hyungjun Kim

Peter J Shah

Kwokleung Chan

Kang Min Kim

Young-Ki Baik

Yong-Hui Lee

Seong Ill Park

The disclosure relates to a method and an apparatus for lightweighting of artificial intelligence models, and a method of performing matrix multiplication of weight values and input values of artificial intelligence models includes copying quantized weight values stored in a global memory to a register, dequantizing the quantized weight values, copying an input value matrix to the register, and performing matrix multiplication between a dequantized weight value matrix and the input value matrix.

Method and apparatus for lightweighting of artificial intelligence model using dequantization

A method, which is performed in an electronic device, for activating a target application is disclosed. The method may include receiving an input sound stream including an activation keyword for activating the target application and a speech command indicative of a function of the target application. The method may also detect the activation keyword from the input sound stream. If the activation keyword is detected, a portion of the input sound stream including at least a portion of the speech command may be buffered in a buffer memory. In addition, in response to detecting the activation keyword, the target application may be activated to perform the function of the target application.

Method and apparatus for activating application by speech input

An electronic device for generating video data is disclosed. The electronic device may include a communication unit configured to wirelessly receive a video stream captured by a camera, wherein the camera is located in an unmanned aerial vehicle. The electronic device may also include at least one sound sensor configured to receive an input sound stream. In addition, the electronic device may include an audio control unit configured to generate an audio stream associated with the video stream based on the input sound stream. Further, the electronic device may include a synthesizer unit configured to generate the video data based on the video stream and the audio stream.

Electronic device for generating video data

A processor is configured to transition in and out of a low-power state at a first rate and to operate in a first mode or a second mode. In a particular method, the processor while coupled to a coder/decoder (CODEC) retrieves audio feature data from a buffer after transitioning out of the low-power state. The CODEC is configured to operate at a second rate in the first mode and at a third rate in the second mode, the second rate and the third rate each greater than the first rate. The audio feature data indicates features of audio data received during the low-power state of the processor. A ratio of CODEC activity to processor activity in the second mode is less than the ratio in the first mode.

Extraction and analysis of buffered audio data using multiple codec rates each greater than a low-power processor rate

A method, which is performed by an electronic device, for obtaining a speaker-independent keyword model of a keyword designated by a user is disclosed. The method may include receiving at least one sample sound from the user indicative of the keyword. The method may also generate a speaker-dependent keyword model for the keyword based on the at least one sample sound, send a request for the speaker-independent keyword model of the keyword to a server in response to generating the speaker-dependent keyword model, and receive the speaker-independent keyword model adapted for detecting the keyword spoken by a plurality of users from the server.

Keyword detection using speaker-independent keyword models for user-designated keywords

According to an aspect of the present disclosure, a method for generating a keyword model of a user-defined keyword in an electronic device is disclosed. The method includes receiving at least one input indicative of the user-defined keyword, determining a sequence of subwords from the at least one input, generating the keyword model associated with the user-defined keyword based on the sequence of subwords and a subword model of the subwords, wherein the subword model is configured to model a plurality of acoustic features of the subwords based on a speech database, and providing the keyword model associated with the user-defined keyword to a voice activation unit configured with a keyword model associated with a predetermined keyword.

Keyword model generation for detecting user-defined keyword

A method for generating a notification by an electronic device to alert a user of the electronic device is disclosed. In this method, a speech phrase may be received. Then, the received speech phrase may be recognized, by a processor, as a command to generate the notification. In addition, one or more context data of the electronic device may be detected by at least one sensor. It may be determined whether the notification is to be generated at least based on the context data. The notification may be generated, by the processor, based on the context data and the command to generate the notification.

Electronic device generating notification based on context data in response to speech phrase from user

A method for controlling an electronic device in response to speech spoken by a user is disclosed. The method may include receiving an input sound by a sound sensor. The method may also detect the speech spoken by the user in the input sound, determine first characteristics of a first frequency range and second characteristics of a second frequency range of the speech in response to detecting the speech in the input sound, and determine whether a direction of departure of the speech spoken by the user is toward the electronic device based on the first and second characteristics.

Controlling electronic device based on direction of speech

A method for controlling voice activation by a target keyword in a mobile device is disclosed. The method includes receiving an input sound stream. When the input sound stream indicates speech, the voice activation unit is activated to detect the target keyword and at least one sound feature is extracted from the input sound stream. Further, the method includes deactivating the voice activation unit when the at least one sound feature indicates a non-target keyword.

Method and apparatus for controlling voice activation

A method, performed in an electronic device, for assigning a target keyword to a function is disclosed. In this method, a list of a plurality of target keywords is received at the electronic device via a communication network, and a particular target keyword is selected from the list of target keywords. Further, the method may include receiving a keyword model for the particular target keyword via the communication network. In this method, the particular target keyword is assigned to a function of the electronic device such that the function is performed in response to detecting the particular target keyword based on the keyword model in an input sound received at the electronic device.

Method and apparatus for assigning keyword model to voice operated function

According to an aspect of the present disclosure, a method for controlling access to a plurality of electronic devices is disclosed. The method includes detecting whether a first device is in contact with a user, adjusting a security level of the first device to activate the first device when the first device is in contact with the user, detecting at least one second device within a communication range of the first device, and adjusting a security level of the at least one second device to control access to the at least one second device based on a distance between the first device and the at least one second device.

Method and apparatus for controlling access to electronic devices

A method for responding in an augmented reality (AR) application of a mobile device to an external sound is disclosed. The mobile device detects a target. A virtual object is initiated in the AR application. Further, the external sound is received, by at least one sound sensor of the mobile device, from a sound source. Geometric information between the sound source and the target is determined, and at least one response for the virtual object to perform in the AR application is generated based on the geometric information.

Augmented reality with sound and geometric analysis

A method and apparatus for performing a function in a mobile device are disclosed. A media sound from a sound output device external to the mobile device is captured and a sound feature is extracted from the captured media sound. A function to be performed in the mobile device is determined by identifying at least one reference sound feature in a set of reference sound features based on the extracted sound feature, each reference sound feature in the set of reference sound features being associated with at least one of a plurality of media sounds and at least one of a plurality of functions. Further, the determined function is performed in the mobile device.

Controlling mobile device based on sound identification

A method, which is performed in a first electronic device, for authorizing access to a second electronic device is disclosed. The method may include establishing communication between the first electronic device and the second electronic device. The method may also obtain data indicative of a motion of at least one of the first and second electronic devices in response to a movement of the at least one of the first and second electronic devices. Based on the data, a control signal authorizing access to the second electronic device is generated, and transmitted to the second electronic device.

Automatic authorization for access to electronic device

A method for recognizing an environmental sound in a client device in cooperation with a server is disclosed. The client device includes a client database having a plurality of sound models of environmental sounds and a plurality of labels, each of which identifies at least one sound model. The client device receives an input environmental sound and generates an input sound model based on the input environmental sound. At the client device, a similarity value is determined between the input sound model and each of the sound models to identify one or more sound models from the client database that are similar to the input sound model. A label is selected from labels associated with the identified sound models, and the selected label is associated with the input environmental sound based on a confidence level of the selected label.

Growing community of inventors

Seoul, South Korea

Taesu Kim