Patents by Inventor Seung Kwon Beack

Seung Kwon Beack has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11328734
    Abstract: An encoding method for a multi-channel audio signal, an encoding apparatus for performing the encoding method, and a decoding method for a multi-channel audio signal and a decoding apparatus for performing the decoding method are disclosed. A method and apparatus of bypassing an MPEG Surround (MPS) standard operation and using an arbitrary tree when a number of audio signals of N channels exceeds a channel number defined in an MPS standard, is disclosed.
    Type: Grant
    Filed: January 6, 2020
    Date of Patent: May 10, 2022
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Seung Kwon Beack, Jeong Il Seo, Jong Mo Sung, Tae Jin Lee, Jin Soo Choi
  • Patent number: 11330274
    Abstract: The present invention discloses an encoding apparatus using a Discrete Cosine Transform (DCT) scanning, which includes a mode selection means for selecting an optimal mode for intra prediction; an intra prediction means for performing intra prediction onto video inputted based on the mode selected in the mode selection means; a DCT and quantization means for performing DCT and quantization onto residual coefficients of a block outputted from the intra prediction means; and an entropy encoding means for performing entropy encoding onto DCT coefficients acquired from the DCT and quantization by using a scanning mode decided based on pixel similarity of the residual coefficients.
    Type: Grant
    Filed: June 12, 2019
    Date of Patent: May 10, 2022
    Assignees: Electronics and Telecommunications Research Institute, Kwangwoon University Research Institute for Industry Cooperation, Industry-Academia Cooperation Group of Sejong University
    Inventors: Se-Yoon Jeong, Hae-Chul Choi, Jeong-Il Seo, Seung-Kwon Beack, In-Seon Jang, Jae-Gon Kim, Kyung-Ae Moon, Dae-Young Jang, Jin-Woo Hong, Jin-Woong Kim, Yung-Lyul Lee, Dong-Gyu Sim, Seoung-Jun Oh, Chang-Beom Ahn, Dae-Yeon Kim, Dong-Kyun Kim
  • Patent number: 11310615
    Abstract: An audio encoding apparatus and method that encodes hybrid contents including an object sound, a background sound, and metadata, and an audio decoding apparatus and method that decodes the encoded hybrid contents are provided. The audio encoding apparatus may include a mixing unit to generate an intermediate channel signal by mixing a background sound and an object sound, a matrix information encoding unit to encode matrix information used for the mixing, an audio encoding unit to encode the intermediate channel signal, and a metadata encoding unit to encode metadata including control information of the object sound.
    Type: Grant
    Filed: January 20, 2020
    Date of Patent: April 19, 2022
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Seung Kwon Beack, Tae Jin Lee, Jong Mo Sung, Kyeong Ok Kang, Jeong Il Seo, Dae Young Jang, Yong Ju Lee, Jin Woong Kim
  • Patent number: 11289105
    Abstract: An encoding/decoding apparatus and method for controlling a channel signal is disclosed, wherein the encoding apparatus may include an encoder to encode an object signal, a channel signal, and rendering information for the channel signal, and a bit stream generator to generate, as a bit stream, the encoded object signal, the encoded channel signal, and the encoded rendering information for the channel signal.
    Type: Grant
    Filed: June 20, 2019
    Date of Patent: March 29, 2022
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Jeong Il Seo, Seung Kwon Beack, Dae Young Jang, Kyeong Ok Kang, Tae Jin Park, Yong Ju Lee, Keun Woo Choi, Jin Woong Kim
  • Publication number: 20220020385
    Abstract: An audio signal encoding method performed by an encoder includes identifying a time-domain audio signal in a unit of blocks, quantizing a linear prediction coefficient extracted from a combined block in which a current original block of the audio signal and a previous original block chronologically adjacent to the current original block using frequency-domain linear predictive coding (LPC), generating a temporal envelope by dequantizing the quantized linear prediction coefficient, extracting a residual signal from the combined block based on the temporal envelope, quantizing the residual signal by one of time-domain quantization and frequency-domain quantization, and transforming the quantized residual signal and the quantized linear prediction coefficient into a bitstream.
    Type: Application
    Filed: July 15, 2021
    Publication date: January 20, 2022
    Inventors: Seung Kwon Beack, Jongmo Sung, Mi Suk Lee, Tae Jin Lee, Woo-taek Lim, Inseon Jang, Jin Soo Choi
  • Publication number: 20220005486
    Abstract: An encoding apparatus and a decoding apparatus in a transform between a Modified Discrete Cosine Transform (MDCT)-based coder and a different coder are provided. The encoding apparatus may encode additional information to restore an input signal encoded according to the MDCT-based coding scheme, when switching occurs between the MDCT-based coder and the different coder. Accordingly, an unnecessary bitstream may be prevented from being generated, and minimum additional information may be encoded.
    Type: Application
    Filed: July 12, 2021
    Publication date: January 6, 2022
    Applicants: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, KWANGWOON UNIVERSITY INDUSTRY-ACADEMIC COLLABORATION FOUNDATION
    Inventors: Seung Kwon BEACK, Tae Jin LEE, Min Je KIM, Dae Young JANG, Kyeongok KANG, Jin Woo HONG, Ho Chong PARK, Young-cheol PARK
  • Publication number: 20220005488
    Abstract: The encoding method includes computing the first feature information of an input signal using a recurrent encoding model, quantizing the first feature information and producing the first feature bitstream, computing the first output signal from the quantized first feature information using a recurrent decoding model, computing the second feature information of the input signal using a nonrecurrent encoding model, quantizing the second feature information and producing the second feature bitstream, computing the second output signal from the quantized second feature information using a nonrecurrent decoding model, determining an encoding mode based on the input signal, the first and second output signals, and the first and second feature bitstreams, and outputting an overall bitstream by multiplexing an encoding mode bit and one of the first feature bitstream and the second feature bitstream depending on the encoding mode.
    Type: Application
    Filed: July 6, 2021
    Publication date: January 6, 2022
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Jongmo SUNG, Seung Kwon BEACK, Mi Suk LEE, Tae Jin LEE, Woo-taek LIM, Inseon JANG
  • Publication number: 20220005487
    Abstract: An audio signal encoding and decoding method using a neural network model, a method of training the neural network model, and an encoder and decoder performing the methods are disclosed. The encoding method includes computing the first feature information of an input signal using a recurrent encoding model, computing an output signal from the first feature information using a recurrent decoding model, calculating a residual signal by subtracting the output signal from the input signal, computing the second feature information of the residual signal using a nonrecurrent encoding model, and converting the first feature information and the second feature information to a bitstream.
    Type: Application
    Filed: July 6, 2021
    Publication date: January 6, 2022
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Jongmo SUNG, Seung Kwon BEACK, Mi Suk LEE, Tae Jin LEE, Woo-taek LIM, Inseon JANG
  • Publication number: 20210398547
    Abstract: An audio signal encoding method performed by an encoder includes identifying an audio signal of a time domain in units of a block, generating a combined block by combining i) a current original block of the audio signal and ii) a previous original block chronologically adjacent to the current original block, extracting a first residual signal of a frequency domain from the combined block using linear predictive coding of a time domain, overlapping chronologically adjacent first residual signals among first residual signals converted into a time domain, and quantizing a second residual signal of a time domain extracted from the overlapped first residual signal by converting the second residual signal of the time domain into a frequency domain using linear predictive coding of a frequency domain.
    Type: Application
    Filed: May 26, 2021
    Publication date: December 23, 2021
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Seung Kwon BEACK, Jongmo SUNG, Mi Suk LEE, Tae Jin LEE, Woo-taek LIM, Inseon JANG
  • Publication number: 20210390967
    Abstract: Disclosed is a method of encoding and decoding an audio signal using linear predictive coding (LPC) and an encoder and a decoder that perform the method. The method of encoding an audio signal to be performed by the encoder includes identifying a time-domain audio signal block-wise, quantizing a linear prediction coefficient obtained from a block of the audio signal through the LPC, generating an envelope based on the quantized linear prediction coefficient, extracting a residual signal based on the envelope and a result of converting the block into a frequency domain, grouping the residual signal by each sub-band and determining a scale factor for quantizing the grouped residual signal, quantizing the residual signal using the scale factor, and converting the quantized residual signal and the quantized linear prediction coefficient into a bitstream and transmitting the bitstream to a decoder.
    Type: Application
    Filed: April 28, 2021
    Publication date: December 16, 2021
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Seung Kwon Beack, Jongmo SUNG, Mi Suk LEE, Tae Jin LEE, Woo-taek LIM, Inseon JANG, Jin Soo CHOI
  • Publication number: 20210366497
    Abstract: Methods of encoding and decoding a speech signal using a neural network model that recognizes sound sources, and encoding and decoding apparatuses for performing the methods are provided. A method of encoding a speech signal includes identifying an input signal for a plurality of sound sources; generating a latent signal by encoding the input signal; obtaining a plurality of sound source signals by separating the latent signal for each of the plurality of sound sources; determining a number of bits used for quantization of each of the plurality of sound source signals according to a type of each of the plurality of sound sources; quantizing each of the plurality of sound source signals based on the determined number of bits; and generating a bitstream by combining the plurality of quantized sound source signals.
    Type: Application
    Filed: May 20, 2021
    Publication date: November 25, 2021
    Applicants: Electronics and Telecommunications Research Institute, The Trustees of Indiana University
    Inventors: Woo-taek LIM, Seung Kwon BEACK, Jongmo SUNG, Mi Suk LEE, Tae Jin LEE, Inseon JANG, Minje KIM, Haici YANG
  • Publication number: 20210350796
    Abstract: Disclosed is a speech processing apparatus and method using a densely connected hybrid neural network. The speech processing method includes inputting a time domain sample of N*1 dimension for an input speech into a densely connected hybrid network; passing the time domain sample through a plurality of dense blocks in a densely connected hybrid network; reshaping the time domain samples into M subframes by passing the time domain samples through the plurality of dense blocks, inputting the M subframes into gated recurrent unit (GRU) components of N/M-dimension; outputting clean speech from which noise is removed from the input speech by passing the M subframes through GRU components.
    Type: Application
    Filed: May 5, 2021
    Publication date: November 11, 2021
    Applicants: Electronics and Telecommunications Research Institute, The Trustees of Indiana University
    Inventors: Minje KIM, Mi Suk LEE, Seung Kwon BEACK, Jongmo SUNG, Tae Jin LEE, Jin Soo CHOI, Kai ZHEN
  • Patent number: 11133015
    Abstract: A method of predicting a channel parameter of an original signal from a downmix signal is disclosed. The method may include generating an input feature map to be used to predict a channel parameter of the original signal based on a downmix signal of an original signal, determining an output feature map including a predicted parameter to be used to predict the channel parameter by applying the input feature map to a neural network, generating a label map including information associated with the channel parameter of the original signal, and predicting the channel parameter of the original signal by comparing the output feature map and the label map.
    Type: Grant
    Filed: November 5, 2018
    Date of Patent: September 28, 2021
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Seung Kwon Beack, Woo-taek Lim, Jongmo Sung, Mi Suk Lee, Tae Jin Lee, Hui Yong Kim
  • Publication number: 20210233547
    Abstract: A method and apparatus for processing an audio signal are disclosed. According to an example embodiment, a method of processing an audio signal may include acquiring a final audio signal for an initial audio signal using a plurality of neural network models generating output audio signals by encoding and decoding input audio signals, calculating a difference between the initial audio signal and the final audio signal in a time domain, converting the initial audio signal and the final audio signal into Mel-spectra, calculating a difference between the Mel-spectra of the initial audio signal and the final audio signal in a frequency domain, training the plurality of neural network models based on results calculated in the time domain and the frequency domain, and generating a new final audio signal distinguished from the final audio signal from the initial audio signal using the trained neural network models.
    Type: Application
    Filed: January 22, 2021
    Publication date: July 29, 2021
    Applicants: Electronics and Telecommunications Research Institute, The Trustees of Indiana University
    Inventors: Mi Suk LEE, Seung Kwon BEACK, Jongmo SUNG, Tae Jin LEE, Jin Soo CHOI, Minje KIM, Kai ZHEN
  • Publication number: 20210218973
    Abstract: The present invention discloses an encoding apparatus using a Discrete Cosine Transform (DCT) scanning, which includes a mode selection means for selecting an optimal mode for intra prediction; an intra prediction means for performing intra prediction onto video inputted based on the mode selected in the mode selection means; a DCT and quantization means for performing DCT and quantization onto residual coefficients of a block outputted from the intra prediction means; and an entropy encoding means for performing entropy encoding onto DCT coefficients acquired from the DCT and quantization by using a scanning mode decided based on pixel similarity of the residual coefficients.
    Type: Application
    Filed: April 1, 2021
    Publication date: July 15, 2021
    Applicants: Electronics and Telecommunications Research Institute, Kwangwoon University Research Institute for Industry Cooperation, Industry-Academia Cooperation Group of Sejong University
    Inventors: Se-Yoon JEONG, Hae-Chul CHOI, Jeong-Il SEO, Seung-Kwon BEACK, In-Seon JANG, Jae-Gon KIM, Kyung-Ae MOON, Dae-Young JANG, Jin-Woo HONG, Jin-Woong KIM, Yung-Lyul LEE, Dong-Gyu SIM, Seoung-Jun OH, Chang-Beom AHN, Dae-Yeon KIM, Dong-Kyun KIM
  • Publication number: 20210218972
    Abstract: The present invention discloses an encoding apparatus using a Discrete Cosine Transform (DCT) scanning, which includes a mode selection means for selecting an optimal mode for intra prediction; an intra prediction means for performing intra prediction onto video inputted based on the mode selected in the mode selection means; a DCT and quantization means for performing DCT and quantization onto residual coefficients of a block outputted from the intra prediction means; and an entropy encoding means for performing entropy encoding onto DCT coefficients acquired from the DCT and quantization by using a scanning mode decided based on pixel similarity of the residual coefficients.
    Type: Application
    Filed: April 1, 2021
    Publication date: July 15, 2021
    Applicants: Electronics and Telecommunications Research Institute, Kwangwoon University Research Institute for Industry Cooperation, Industry-Academia Cooperation Group of Sejong University
    Inventors: Se-Yoon JEONG, Hae-Chul CHOI, Jeong-Il SEO, Seung-Kwon BEACK, In-Seon JANG, Jae-Gon KIM, Kyung-Ae MOON, Dae-Young JANG, Jin-Woo HONG, Jin-Woong KIM, Yung-Lyul LEE, Dong-Gyu SIM, Seoung-Jun OH, Chang-Beom AHN, Dae-Yeon KIM, Dong-Kyun KIM
  • Patent number: 11062718
    Abstract: An encoding apparatus and a decoding apparatus in a transform between a Modified Discrete Cosine Transform (MDCT)-based coder and a different coder are provided. The encoding apparatus may encode additional information to restore an input signal encoded according to the MDCT-based coding scheme, when switching occurs between the MDCT-based coder and the different coder. Accordingly, an unnecessary bitstream may be prevented from being generated, and minimum additional information may be encoded.
    Type: Grant
    Filed: September 25, 2017
    Date of Patent: July 13, 2021
    Assignees: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, KWANGWOON UNIVERSITY INDUSTRY-ACADEMIC COLLABORATION FOUNDATION
    Inventors: Seung Kwon Beack, Tae Jin Lee, Min Je Kim, Dae Young Jang, Kyeongok Kang, Jin Woo Hong, Ho Chong Park, Young-cheol Park
  • Patent number: 11056122
    Abstract: An encoder and an encoding method for a multi-channel signal, and a decoder and a decoding method for a multi-channel signal are disclosed. A multi-channel signal may be efficiently processed by consecutive downmixing or upmixing.
    Type: Grant
    Filed: February 10, 2020
    Date of Patent: July 6, 2021
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Seung Kwon Beack, Tae Jin Lee, Jong Mo Sung, Jeong Il Seo, Kyeong Ok Kang, Dae Young Jang, Jin Woong Kim
  • Publication number: 20210201923
    Abstract: Disclosed is a binaural rendering method and apparatus for decoding a multichannel audio signal. The binaural rendering method may include: extracting an early reflection component and a late reverberation component from a binaural filter; generating a stereo audio signal by performing binaural rendering of a multichannel audio signal base on the early reflection component; and applying the late reverberation component to the generated stereo audio signal.
    Type: Application
    Filed: March 15, 2021
    Publication date: July 1, 2021
    Applicant: Electronics and Telecommunications Research Institute
    Inventors: Yong Ju LEE, Jeong Il SEO, Jae Hyoun YOO, Seung Kwon BEACK, Jong Mo SUNG, Tae Jin LEE, Kyeong Ok KANG, Jin Woong KIM, Tae Jin PARK, Dae Young JANG, Keun Woo CHOI
  • Patent number: 11037578
    Abstract: An encoder and an encoding method for a multi-channel signal, and a decoder and a decoding method for a multi-channel signal are disclosed. A multi-channel signal may be efficiently processed by consecutive downmixing or upmixing.
    Type: Grant
    Filed: September 10, 2018
    Date of Patent: June 15, 2021
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Seung Kwon Beack, Tae Jin Lee, Jong Mo Sung, Jeong Il Seo, Kyeong Ok Kang, Dae Young Jang, Jin Woong Kim