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公开(公告)号：US20250104721A1
公开(公告)日：2025-03-27
申请号：US18686568
申请日：2022-12-15
Inventor： Seung Kwon BEACK , Jongmo SUNG , Tae Jin LEE , Woo-taek LIM , Inseon JANG , Byeongho CHO
IPC: G10L19/032 , G10L19/03
Abstract: Disclosed are a device and method for audio signal processing. The audio signal processing device according to an embodiment includes a receiver configured to receive a bitstream corresponding to a compressed audio signal and a processor. The processor may be configured to generate a real restoration signal or a complex restoration signal by performing inverse quantization on real data of the bitstream or complex data of the bitstream, generate a result of real Frequency Domain Noise Shaping (FDNS) synthesis or a result of complex FDNS synthesis by performing FDNS synthesis on the real restoration signal or the complex restoration signal, and generate a restored audio signal by performing frequency-to-time transform on the result of the real FDNS synthesis or the result of the complex FDNS synthesis.
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公开(公告)号：US20240135941A1
公开(公告)日：2024-04-25
申请号：US18358646
申请日：2023-07-24
Applicant: Electronics and Telecommunications Research Institute , Gwangju Institute of Science and Technology
Inventor： Inseon JANG , Seung Kwon BEACK , Tae Jin LEE , Jongmo SUNG , Woo-taek LIM , Byeongho CHO , Jongwon SHIN
IPC: G10L19/02
CPC classification number: G10L19/02
Abstract: Provided is an encoding apparatus including a memory configured to store instructions and a processor electrically connected to the memory and configured to execute the instructions, wherein the processor may be configured to perform a plurality of operations, when the instructions are executed by the processor, wherein the plurality of operations may include obtaining an input audio signal, generating an embedded audio signal by embedding signal components of a second frequency band of the input audio signal in a first frequency band of the input audio signal, generating additional information associated with the first frequency band and the second frequency band, generating an encoded audio signal by encoding the embedded audio signal, and formatting the encoded audio signal and the additional information into a bitstream.
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公开(公告)号：US20220005487A1
公开(公告)日：2022-01-06
申请号：US17368390
申请日：2021-07-06
Inventor： Jongmo SUNG , Seung Kwon BEACK , Mi Suk LEE , Tae Jin LEE , Woo-taek LIM , Inseon JANG
IPC: G10L19/032
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.
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4.发明公开公开(公告)号：US20230245666A1
公开(公告)日：2023-08-03
申请号：US18102472
申请日：2023-01-27
Inventor： Seung Kwon BEACK , Jongmo SUNG , Tae Jin LEE , Woo-taek LIM , Inseon JANG , Byeongho CHO
IPC: G10L19/035 , G10L19/038 , G10L19/00
CPC classification number: G10L19/035 , G10L19/038 , G10L19/0017
Abstract: Provided are an encoding method, an encoding device, a decoding method, and a decoding device using a scalar quantization and a vector quantization. The encoding method includes converting an input signal of a time domain into a frequency domain, generating a first residual signal from an input signal of a frequency domain by using a scale factor, performing a scalar quantization of the first residual signal, generating a second residual signal from the scalar-quantized first residual signal, performing a lossless encoding of the scalar-quantized first residual signal, performing a vector quantization of the second residual signal, and transmitting a bitstream including the lossless-encoded first residual signal and the vector-quantized second residual signal.
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5.发明申请公开(公告)号：US20230039546A1
公开(公告)日：2023-02-09
申请号：US17711908
申请日：2022-04-01
Applicant: Electronics and Telecommunications Research Institute , Gwangju Institute of Science and Technology
Inventor： Inseon JANG , Seung Kwon BEACK , Jongmo SUNG , Tae Jin LEE , Woo-taek LIM , Jongwon SHIN , Youngju CHEON , Sangwook HAN , Soojoong HWANG
IPC: G10L19/038 , G06N3/04
Abstract: An audio encoding/decoding apparatus and method using vector quantized residual error features are disclosed. An audio signal encoding method includes outputting a bitstream of a main codec by encoding an original signal, decoding the bitstream of the main codec, determining a residual error feature vector from a feature vector of a decoded signal and a feature vector of the original signal, and outputting a bitstream of additional information by encoding the residual error feature vector.
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Patent Agency Ranking
公开(公告)号：US20220335963A1
公开(公告)日：2022-10-20
申请号：US17670172
申请日：2022-02-11
Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE , INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY
Inventor： Inseon JANG , Seung Kwon BEACK , Jongmo SUNG , Tae Jin LEE , Woo-taek LIM , Hong-Goo KANG , Jihyun LEE , Chanwoo LEE , Hyungseob LIM
IPC: G10L19/038 , G10L25/30
Abstract: An audio signal encoding and decoding method using a neural network model, and an encoder and decoder for performing the same are disclosed. A method of encoding an audio signal using a neural network model, the method may include identifying an input signal, generating a quantized latent vector by inputting the input signal into a neural network model encoding the input signal, and generating a bitstream corresponding to the quantized latent vector, wherein the neural network model may include i) a feature extraction layer generating a latent vector by extracting a feature of the input signal, ii) a plurality of downsampling blocks downsampling the latent vector, and iii) a plurality of quantization blocks performing quantization of a downsampled latent vector.
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公开(公告)号：US20220005488A1
公开(公告)日：2022-01-06
申请号：US17368484
申请日：2021-07-06
Inventor： Jongmo SUNG , Seung Kwon BEACK , Mi Suk LEE , Tae Jin LEE , Woo-taek LIM , Inseon JANG
IPC: G10L19/032 , G10L19/16 , H04B17/309 , G06N3/08
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.
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8.发明申请公开(公告)号：US20150133097A1
公开(公告)日：2015-05-14
申请号：US14266616
申请日：2014-04-30
Inventor： Inseon JANG
IPC: H04M3/56
CPC classification number: H04M3/568
Abstract: An acoustic echo removing apparatus detects space information representing a location of a sound source using a plurality of microphone input signals that are received through a plurality of microphones, and generates an acoustic echo estimation signal from a far-end talker voice signal using an adaptive filter coefficient. The acoustic echo removing apparatus detects a double talk segment using the space information, and determines update of the adaptive filter coefficient according to whether the double talk segment exists.
Abstract translation: 声学回波去除装置使用通过多个麦克风接收的多个麦克风输入信号来检测表示声源的位置的空间信息，并且使用自适应滤波器从远端讲话者语音信号生成声学回波估计信号 系数。 声学回波消除装置利用空间信息检测双向通话段，并且根据双方通话段是否存在来确定自适应滤波器系数的更新。
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公开(公告)号：US20240420712A1
公开(公告)日：2024-12-19
申请号：US18732758
申请日：2024-06-04
Inventor： Byeongho CHO , Seung Kwon BEACK , Jung Won KANG , Soo Young PARK , Jongmo SUNG , Tae Jin LEE , Woo-taek LIM , Inseon JANG
IPC: G10L19/028 , G10L19/02 , G10L19/035 , G10L19/06
Abstract: A method of encoding/decoding an audio signal and a device for performing the same are provided. The method of encoding an audio signal includes generating, based on the audio signal, a linear prediction coding (LPC) bitstream and a frequency-domain signal of the audio signal, generating, based on the LPC bitstream and the frequency-domain signal, a first residual signal including information on a frequency envelope of the frequency-domain signal, and outputting a second residual signal by processing a first residual signal through one of a plurality of signal processing paths.
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10.发明公开公开(公告)号：US20230274141A1
公开(公告)日：2023-08-31
申请号：US18166407
申请日：2023-02-08
Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE , YONSEI UNIVERSITY WONJU INDUSTRY-ACADEMIC COOPERATION FOUNDATION
Inventor： Jongmo SUNG , Seung Kwon BEACK , Tae Jin LEE , Woo-taek LIM , Inseon JANG , Byeongho CHO , Young Cheol PARK , Joon BYUN , Seungmin SHIN
IPC: G06N3/08 , G10L19/038 , G10L25/30 , G10L19/028 , G10L25/69 , G10L25/60
CPC classification number: G06N3/08 , G10L19/038 , G10L25/30 , G10L19/028 , G10L25/69 , G10L25/60
Abstract: Provided is a method and apparatus for designing and testing an audio codec using quantization based on white noise modeling. A neural network-based audio encoder design method includes generating a quantized latent vector and a reconstructed signal corresponding to an input signal by using a white noise modeling-based quantization process, computing a total loss for training a neural network-based audio codec, based on the input signal, the reconstruction signal, and the quantized latent vector, training the neural network-based audio codec by using the total loss, and validating the trained neural network-based audio codec to select the best neural network-based audio codec.
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