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.: US17368484Application Date: 2021-07-06
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Publication No.: US20220005488A1Publication 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: KR10-2020-0083079 20200706,KR10-2021-0052262 20210422
- Main IPC: G10L19/032
- 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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