Samsung Electronics Co., Ltd.

Changwoo Han

Kyungmin Lee

Sangyoon Kim

Jonguk Yoo

Minkyu Shin

Dokyun Lee

Jaewon Lee

Youngho Han

Sungsoo Kim

Chanwoo Kim

Junmo Park

Kangseok Choi

Aahwan Kudumula

Jiyeon Kim

Jinhwan Park

Namhoon Kim

Chulmin Lee

Jongyoub Ryu

Sichen Jin

Kwangyoun Kim

Donguk Jung

Dhairya Sandhyana

Jeongsu Kim

Hoseon Shin

Hyeontaek Lim

Jubum Han

An electronic apparatus includes a memory storing a speech recognition model and first recognition information corresponding to a first user voice obtained through the speech recognition model, the speech recognition model including a first network, a second network, and a third network; and a processor configured to: obtain a first vector by inputting voice data corresponding to a second user voice to the first network, obtain a second vector by inputting the first recognition information to the second network which generates a vector based on first weight information, and obtain second recognition information corresponding to the second user voice by inputting the first vector and the second vector to the third network which generates recognition information based on second weight information, wherein at least a part of the second weight information is the same as the first weight information.

Electronic apparatus for speech recognition, and controlling method thereof

Provided are an electronic device capable of providing text information corresponding to a user voice through a user interface and a method of controlling the electronic device. Specifically, an electronic device according to the present disclosure, when an image including at least one object is obtained, analyzes the image to identify the at least one object included in the image, and when a user voice is received, performs voice recognition on the user voice to obtain text information corresponding to the user voice, then identifies an object corresponding to the user voice among the at least one object included in the image, and displays a memo user interface (UI) including text information on an area corresponding to the object identified as corresponding to the user voice among areas on a display.

Electronic device and method of controlling electronic device

Disclosed is a method of controlling an electronic apparatus. The method of controlling an electronic apparatus includes: displaying a screen including an input area configured to receive a text, receiving a speech and obtaining a text corresponding to the speech, performing a service operation corresponding to the input area by inputting the obtained text to the input area, and based on a result of performing the service operation, obtaining a plurality of similar texts including a similar pronunciation with the obtained text, and repeatedly performing the service operation by sequentially inputting the plurality of obtained similar texts to the input area.

Electronic apparatus and controlling method thereof

An electronic device includes an input device, a processor, and a memory The processor is configured to identify a first filter value of a first signal received from the input device. The processor is configured to receive a second signal after a first time elapses after the first signal is received. The processor is configured to receive a third signal after a second time elapses after the second signal is received. The processor is configured to compare a level of the second signal with a first threshold value for each of the at least one unit section of the second signal. The processor is configured to identify first information indicating that abnormal noise is present in a first section of the second signal. The processor is configured to perform filtering on the third signal based on the first filter value of the first signal according to the first information.

Electronic device and method for determining abnormal noise

An electronic apparatus and a control method thereof are provided. The electronic apparatus includes a communication interface configured to receive content comprising image data and speech data; a memory configured to store a language contextual model trained with relevance between words; a display; and a processor configured to: extract an object and a character included in the image data, identify an object name of the object and the character, generate a bias keyword list comprising an image-related word that is associated with the image data, based on the identified object name and the identified character, convert the speech data to a text based on the bias keyword list and the language contextual model, and control the display to display the text that is converted from the speech data, as a caption.

Electronic apparatus and control method thereof

Disclosed are an electronic device and a method of controlling the electronic device. An electronic device according to an embodiment may perform a method comprising: performing natural language understanding for a first text included in learning data, obtaining first information associated with a speech corresponding to the first text being uttered based on a result of the natural language understanding, obtain second information associated with an acoustic feature corresponding to the speech corresponding to the first text being uttered based on the first information, obtaining a plurality of speech signals corresponding to the first text by converting a first speech signal corresponding to the first text based on the first information and the second information, and training a speech recognition model based on the plurality of obtained speech signals and the first text.

Electronic device and controlling method of electronic device for augmenting learning data for a recognition model

An electronic apparatus and a controlling method thereof are provided. The controlling method includes, based on an audio signal being received through a microphone, determining whether a user is on a public transport; detecting whether the audio signal includes a voice signal output through an acoustic device of the public transport; determining whether the voice signal from the acoustic device includes a voice signal for guiding at least one stop from among a plurality of stops; and outputting information on the at least one stop.

An electronic device and a method for controlling the electronic device are disclosed. The electronic device of the disclosure includes a microphone, a memory storing at least one instruction, and a processor configured to execute the at least one instruction. The processor, by executing the at least one instruction, is configured to: obtain second voice data by inputting first voice data input via the microphone to a first model trained to enhance sound quality, obtain a weight by inputting the first voice data and the second voice data to a second model, and identify input data to be input to a third model using the weight.

Electronic device and method of controlling thereof

An electronic device is provided. The electronic apparatus includes a communication interface, and at least one processor configured to receive a first audio signal and a second audio signal from a first sensor device, and a second sensor device located away from the first sensor device, respectively, through the communication interface, acquire similarity between the first audio signal and the second audio signal, acquire a first predicted audio component from the first audio signal based on an operation state of an electronic apparatus located adjacent to the first sensor device, and a second predicted audio component from the second audio signal based on an operation state of an electronic apparatus located adjacent to the second sensor device in the case where the similarity is equal to or higher than a threshold value, identify one of the first sensor device or the second sensor device as an effective sensor device based on the first predicted audio component and the second predicted audio component, and perform speech recognition with respect to an additional audio signal received from the effective sensor device.

A speech recognition method includes receiving a first multi-channel audio signal; obtaining at least one of a speech signal characteristic or a noise signal characteristic for at least one frequency band of frequency bands corresponding to channel audio signals included in the first multi-channel audio signal; generating a signal with an enhanced speech component by performing beamforming on the first multi-channel audio signal based on the speech signal characteristic, a speech signal characteristic obtained for a previous frame that was obtained before a certain time that the first multi-channel audio signal was obtained, and the noise signal characteristic; determining whether the enhanced speech component includes a wake word; and based on determining that the enhanced speech component includes the wake word: activating a speech recognition operation based on the signal with the enhanced speech component.

Method and apparatus for performing speech recognition with wake on voice (WoV)

A method, performed by an electronic device, of identifying location information of an external includes: obtaining map information including location information for each time interval of a mobile device based on the mobile device moving while generating noise near the external device; obtaining audio signal information about an audio signal including the noise generated by the mobile device, the audio signal being collected by a microphone of the external device; identifying, from the audio signal information, a time point at which a noise level of the noise generated by the mobile device is highest; obtaining, from the map information, location information of the mobile device corresponding to the identified time point; and identifying the location information of the external device based on the obtained location information of the mobile device.

Electronic device for identifying location information of external device and operating method thereof

Provided are a device for recognizing a speech input including a named entity from a user and an operating method thereof. The device is configured to: generate a weighted finite state transducer model by using a vocabulary list including a plurality of named entities; obtain a first string from a speech input received from a user, by using a first decoding model; obtain a second string by using a second decoding model that uses the weighted finite state transducer model, the second string including a word sequence, which corresponds to at least one named entity, and an unrecognized word sequence not identified as a named entity; and output a text corresponding to the speech input by substituting the unrecognized word sequence of the second string with a word sequence included in the first string.

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Suwon-si, South Korea

Changwoo Han