Electronics and Telecommunications Research Institute

Crucialtec Co.ltd

Canvasbio Co., Ltd.

Yonsei University

Crucialsoft Company

Woo Taek Lim

In Seon Jang

Baek Bum Pyun

Tae Jin Lee

Seung Kwon Beack

Ji Hyun Lee

Sung Chan Park

Jong Mo Sung

Hong Goo Kang

Chan Woo Lee

Jae Han Kim

Eun Kyung Ma

Byeong Ho Cho

Hyung Seob Lim

A method, executed by a processor for compressing an audio signal in multiple layers, may comprise: (a) restoring, in a highest layer, an input audio signal as a first signal; (b) restoring, in at least one intermediate layer, a signal obtained by subtracting an upsampled signal, which is obtained by upsampling the audio signal restored in the highest layer or an immediately previous intermediate layer, from the input audio signal as a second signal; and (c) restoring, in a lowest layer, a signal obtained by subtracting an upsampled signal, which is obtained by upsampling the audio signal restored in an intermediate layer immediately before the lowest layer, from the input audio signal as a third signal, wherein the first signal, the second signal, and the third signal are combined to output a final restoration audio signal.

Audio signal compression method and apparatus using deep neural network-based multilayer structure and training method thereof

A fingerprint information processing method and apparatus in which the method includes: obtaining a fingerprint image; calculating an average value of shading values of pixels in a specific region based on a pixel with respect to each pixel of the fingerprint image, performing a first processing of calculating a sum of average values of shading values of pixels included in an expanded region while gradually expanding the specific region, and generating a first processing image for the fingerprint image using a first processing-performed value for each pixel; and forming a window including a predetermined region in the first processing image, and selecting feature points among pixels in a window region while moving the window.

Fingerprint information processing method and apparatus for speed improvement of fingerprint registration and authentication

According to one embodiment, provided is a method by which an electronic device comprising a minimum fingerprint sensing area processes fingerprint information, comprising the steps of: acquiring a fingerprint image from the fingerprint sensing area; calculating a shade change value, defined by a shade difference value from a neighboring pixel, for each pixel of the fingerprint image; selecting points, as feature point candidates, of which the shade change value is a threshold value or more; applying artificial distortion for noise filtering to an area including the feature point candidates and neighboring pixels thereof; and selecting, as final feature points, candidates of which the shade change value after the artificial distortion is within a threshold range from among the feature point candidates.

Electronic device comprising minimum sensing area and fingerprint information processing method thereof

Provided is an apparatus for detecting a speech/non-speech section. The apparatus includes an acquisition unit which obtains inter-channel relation information of a stereo audio signal, a separation unit which separates each element of the stereo audio signal into a center channel element and a surround element on the basis of the inter-channel relation information, a calculation unit which calculates an energy ratio value between a center channel signal composed of center channel elements and a surround channel signal composed of surround elements, for each frame, and an energy ratio value between the stereo audio signal and a mono signal generated on the basis of the stereo audio signal, and a judgment unit which determines a speech section and a non-speech section from the stereo audio signal by comparing the energy ratio values.

Method and apparatus for detecting speech/non-speech section

Growing community of inventors

Seoul, South Korea

Woo Taek Lim