APPARATUS AND METHOD FOR PROCESSING MULTI-CHANNEL AUDIO SIGNAL

    公开(公告)号:US20220286799A1

    公开(公告)日:2022-09-08

    申请号:US17728037

    申请日:2022-04-25

    Abstract: According to various embodiments of the disclosure, an audio processing apparatus includes at least one processor configured to execute one or more instructions to obtain a second audio signal down-mixed from at least one first audio signal, obtain information related to error removal for the at least one first audio signal, de-mix the at least one first audio signal from the down-mixed second audio signal, and reconstruct the at least one first audio signal by applying the information related to the error removal for the at least one first audio signal to the at least one first audio signal de-mixed from the second audio signal. The information related to the error removal having been generated using at least one of an original signal power of the at least one first audio signal or a second signal power of the at least one first audio signal after decoding.

    METHOD AND DEVICE FOR PERFORMING ARTIFICIAL INTELLIGENCE ENCODING AND ARTIFICIAL INTELLIGENCE DECODING

    公开(公告)号:US20230281755A1

    公开(公告)日:2023-09-07

    申请号:US18195182

    申请日:2023-05-09

    CPC classification number: G06T3/4046 G06T5/006 G06T2207/20024

    Abstract: An artificial intelligence (AI) encoding apparatus, including a memory configured to store instructions; and at least one processor configured to execute the instructions to: obtain an original image, previously-encoded frame information, and network environment information; obtain deblocking filter setting information, based on the original image, the previously-encoded frame information, and the network environment information; perform deblocking filtering to the original image, based on the deblocking filter setting information to obtain a deblocking-filtered original image; obtain an AI-downscaled first image by providing the deblocking-filtered original image a downscaling deep neural network (DNN); generate image data by performing first encoding on the AI-downscaled first image; and transmit the deblocking filter setting information, AI data including information related to the AI downscaling, and the image data

    AUDIO ENCODING APPARATUS AND METHOD, AND AUDIO DECODING APPARATUS AND METHOD

    公开(公告)号:US20230238003A1

    公开(公告)日:2023-07-27

    申请号:US18127374

    申请日:2023-03-28

    CPC classification number: G10L19/008

    Abstract: An audio signal processing apparatus is configured to: transform a first audio signal includes n channels to generate a first audio data in a frequency domain, generate a frequency feature signal for each channel from the first audio data in the frequency domain, based on a first deep neural network (DNN), generate a second audio signal includes m channels from the first audio signal, based on a second DNN, and generate an output audio signal by encoding the second audio signal and the frequency feature signal. The first audio signal is a high order ambisonic signal includes a zeroth order signal and a plurality of first order signals. The second audio signal includes a mono signal or a stereo signal. m is smaller than n.

    APPARATUS AND METHOD FOR PROCESSING AUDIO

    公开(公告)号:US20220246158A1

    公开(公告)日:2022-08-04

    申请号:US17722569

    申请日:2022-04-18

    Abstract: An audio processing apparatus may obtain second audio signals corresponding to channels included in a second channel group from first audio signals corresponding to channels included in a first channel group, downsample at least one third audio signal corresponding to at least one channel identified based on a correlation with the second channel group from among the channels included in the first channel group, by using an artificial intelligence (AI) model, and generate a bitstream including the second audio signals corresponding to the channels included in the second channel group and the downsampled at least one third audio signal. The first channel group includes a channel group of an original audio signal, and the second channel group is constructed by combining at least two channels from among the channels included in the first channel group.

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