The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 11, 2025
Filed:
Feb. 08, 2023
Electronics and Telecommunications Research Institute, Daejeon, KR;
Yonsei University Wonju Industry-academic Cooperation Foundation, Wonju-si, KR;
Jongmo Sung, Daejeon, KR;
Seung Kwon Beack, Daejeon, KR;
Tae Jin Lee, Daejeon, KR;
Woo-taek Lim, Daejeon, KR;
Inseon Jang, Daejeon, KR;
Byeongho Cho, Daejeon, KR;
Young Cheol Park, Wonju-si, KR;
Joon Byun, Wonju-si, KR;
Seungmin Shin, Wonju-si, KR;
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon, KR;
YONSEI UNIVERSITY WONJU INDUSTRY-ACADEMIC COOPERATION FOUNDATION, Wonju-si, KR;
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.