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.

Date of Patent:
Aug. 11, 2026

Filed:

May. 02, 2024
Applicants:

Electronics and Telecommunications Research Institute, Daejeon, KR;

Uif (University Industry Foundation), Yonsei University, Seoul, KR;

Inventors:

Inseon Jang, Daejeon, KR;

Seung Kwon Beack, Daejeon, KR;

Jongmo Sung, Daejeon, KR;

Tae Jin Lee, Daejeon, KR;

Woo-Taek Lim, Daejeon, KR;

Byeongho Cho, Daejeon, KR;

Hong-Goo Kang, Seoul, KR;

Byeong Hyeon Kim, Seoul, KR;

Jihyun Lee, Seoul, KR;

Hyungseob Lim, Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 19/032 (2013.01); G10L 19/02 (2013.01); G10L 19/038 (2013.01);
U.S. Cl.
CPC ...
G10L 19/038 (2013.01); G10L 19/0204 (2013.01);
Abstract

A method and apparatus for encoding/decoding audio signal are provided. The encoding method includes transforming an input audio signal in a time domain into an audio signal in a frequency domain, quantizing energy of a frequency band of the audio signal in the frequency domain, generating a normal signal by normalizing the audio signal in the frequency domain according to quantized energy, obtaining a feature vector including information on the energy of the frequency band based on the normal signal and the input audio signal, quantizing the feature vector, obtaining a scale factor used to scale the normal signal based on the quantized feature vector, quantizing an adjustment signal into which the normal signal has been scaled based on the scale factor, and outputting bitstreams based on the quantized energy, the quantized feature vector, and the quantized adjustment signal.


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