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: 11412225
    Abstract: Disclosed herein is a context-adaptive entropy model for end-to-end optimized image compression. The entropy model exploits two types of contexts. The two types of contexts are a bit-consuming context and a bit-free context, respectively, and these contexts are classified depending on the corresponding context requires the allocation of additional bits. Based on these contexts, the entropy model may more accurately estimate the distribution of each latent representation using a more generalized form of entropy models, thus improving compression performance.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: August 9, 2022
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Joo-Young Lee, Seung-Hyun Cho, Seung-Kwon Beack, Hyunsuk Ko, Youn-Hee Kim, Jong-Ho Kim, Jin-Wuk Seok, Woong Lim, Se-Yoon Jeong, Hui-Yong Kim, Jin-Soo Choi
  • Patent number: 11405738
    Abstract: Disclosed is an apparatus and method for processing a multichannel audio signal. A multichannel audio signal processing method may include: generating an N-channel audio signal of N channels by down-mixing an M-channel audio signal of M channels; and generating a stereo audio signal by performing binaural rendering of the N-channel audio signal.
    Type: Grant
    Filed: December 4, 2019
    Date of Patent: August 2, 2022
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Yong Ju Lee, Jeong Il Seo, Seung Kwon Beack, Kyeong Ok Kang, Jin Woong Kim, Jae Hyoun Yoo
  • Publication number: 20220238126
    Abstract: Methods of encoding and decoding an audio signal using a learning model and an encoder and a decoder for performing the methods are disclosed. A method of encoding an audio signal using a learning model may include extracting pitch information of the audio signal, determining a dilation factor of a receptive field of a first expandable neural network block to extract a feature map from the audio signal based on the pitch information, generating a first feature map of the audio signal using the first expandable neural network block in which the dilation factor is determined, determining a second feature map by inputting the first feature map into a second expandable neural network block to process the first feature map, and converting the second feature map and the pitch information into a bitstream.
    Type: Application
    Filed: January 7, 2022
    Publication date: July 28, 2022
    Inventors: Jongmo SUNG, Seung Kwon BEACK, Tae Jin LEE, Woo-taek LIM, Inseon JANG
  • Publication number: 20220223159
    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: Application
    Filed: March 28, 2022
    Publication date: July 14, 2022
    Applicant: 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
  • Patent number: 11375331
    Abstract: The present research relates to controlling rendering of multi-object or multi-channel audio signals. The present research provides a method and apparatus for controlling rendering of multi-object or multi-channel audio signals based on spatial cues in a process of decoding the multi-object or multi-channel audio signals. To achieve the purpose, the method suggested in the research controls rendering in a spatial cue domain in the process of decoding the multi-object or multi-channel audio signals.
    Type: Grant
    Filed: May 8, 2020
    Date of Patent: June 28, 2022
    Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
    Inventors: Seung-Kwon Beack, Jeong-Il Seo, Dae-Young Jang, Tae-Jin Lee, Yong-Ju Lee, Jin-Woo Hong, Jin-Woong Kim
  • Publication number: 20220157326
    Abstract: A method of generating a residual signal performed by an encoder includes identifying an input signal including an audio sample, generating a first residual signal from the input signal using linear predictive coding (LPC), generating a second residual signal having a less information amount than the first residual signal by transforming the first residual signal, transforming the second residual signal into a frequency domain, and generating a third residual signal having a less information amount than the second residual signal from the transformed second residual signal using frequency-domain prediction (FDP) coding.
    Type: Application
    Filed: October 21, 2021
    Publication date: May 19, 2022
    Inventors: Seung Kwon BEACK, Jongmo SUNG, Tae Jin LEE, Woo-taek LIM, Inseon JANG
  • 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