Invention Application
- Patent Title: METHODS OF ENCODING AND DECODING AUDIO SIGNAL USING NEURAL NETWORK MODEL, AND DEVICES FOR PERFORMING THE METHODS
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Application No.: US17368390Application Date: 2021-07-06
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Publication No.: US20220005487A1Publication Date: 2022-01-06
- Inventor: Jongmo SUNG , Seung Kwon BEACK , Mi Suk LEE , Tae Jin LEE , Woo-taek LIM , Inseon JANG
- Applicant: Electronics and Telecommunications Research Institute
- Applicant Address: KR Daejeon
- Assignee: Electronics and Telecommunications Research Institute
- Current Assignee: Electronics and Telecommunications Research Institute
- Current Assignee Address: KR Daejeon
- Priority: KR10-2020-0083075 20200706,KR10-2021-0049753 20210416
- Main IPC: G10L19/032
- 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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