Method of encoding high band of audio and method of decoding high band of audio, and encoder and decoder for performing the methods
AssigneesElectronics and Telecommunications Research Institute, Kwangwoon University Industry-Academic Collaboration Foundation
InventorsSeung Kwon Beack, Jongmo Sung, Mi Suk Lee, Tae Jin Lee, Hochong Park
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Abstract
Disclosed are a method of encoding a high band of an audio, a method of decoding a high band of an audio, and an encoder and a decoder for performing the methods. The method of decoding a high band of an audio, the method performed by a decoder, includes identifying a parameter extracted through a first neural network, identifying side information extracted through a second neural network, and restoring a high band of an audio by applying the parameter and the side information to a third neural network.
Claims14
A method of decoding a high band of an audio, the method performed by a decoder, the method comprising:
- identifying a parameter extracted through a first neural network;
- identifying side information extracted through a second neural network;
- and
- restoring a high band of an audio by applying the parameter and the side information to a third neural network,
- wherein, when a decoding frame of the audio is a current frame and there is at least one previous frame with respect to the current frame, a first input applied to the first neural network includes a high-band coefficient of the current frame, and a second input applied to the second neural network includes a high-band coefficient and a low-band coefficient of the previous frame, and a low-band coefficient of the current frame.
A decoder, comprising:
- a processor,
- wherein the processor is configured to identify a parameter extracted through a first neural network, identify side information extracted through a second neural network, and restore a high band of an audio by applying the parameter and the side information to a third neural network, and
- wherein, when a decoding frame of the audio is a current frame and there is at least one previous frame with respect to the current frame, a first input applied to the first neural network includes a high-band coefficient of the current frame, and a second input applied to the second neural network includes a high-band coefficient and a low-band coefficient of the previous frame, and a low-band coefficient of the current frame.
Dependencies are inferred from the claim text.