US 12,112,761 B2
Audio signal encoding method and apparatus
Eyal Shlomot, Long Beach, CA (US); Jonathan Alastair Gibbs, Cumbria (GB); and Haiting Li, Beijing (CN)
Assigned to HUAWEI TECHNOLOGIES CO., LTD., Shenzhen (CN)
Filed by Huawei Technologies Co., Ltd., Shenzhen (CN)
Filed on Aug. 18, 2023, as Appl. No. 18/451,975.
Application 18/451,975 is a continuation of application No. 17/962,878, filed on Oct. 10, 2022, granted, now 11,776,553.
Application 17/962,878 is a continuation of application No. 17/135,548, filed on Dec. 28, 2020, granted, now 11,501,784, issued on Nov. 15, 2022.
Application 17/135,548 is a continuation of application No. PCT/CN2019/093403, filed on Jun. 27, 2019.
Claims priority of application No. 201810713020.1 (CN), filed on Jun. 29, 2018.
Prior Publication US 2023/0395084 A1, Dec. 7, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G10L 19/008 (2013.01); G10L 19/038 (2013.01); G10L 19/06 (2013.01); G10L 19/032 (2013.01); G10L 19/07 (2013.01)
CPC G10L 19/008 (2013.01) [G10L 19/038 (2013.01); G10L 19/06 (2013.01); G10L 19/032 (2013.01); G10L 19/07 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An audio signal encoding method, comprising:
obtaining a current frame of an audio signal, wherein the current frame comprises a first channel signal and a second channel signal;
obtaining an inter-channel time difference (ITD) between the first channel signal and the second channel signal;
performing time alignment on the first channel signal and the second channel signal based on the ITD to respectively obtain a time-aligned first channel signal and a time-aligned second channel signal;
performing a time-domain downmixing on the time-aligned first channel signal and the time-aligned second channel signal to respectively obtain a third channel signal and a fourth channel signal;
obtaining a first quantized line spectral frequency (LSF) vector of the third channel signal;
obtaining a second LSF vector of the fourth channel signal;
calculating a second adaptive broadening factor based on the first quantized LSF vector and the second LSF vector;
obtaining a first adaptive broadening factor by quantizing the second adaptive broadening factor; and
writing the first quantized LSF vector and the first adaptive broadening factor into a bitstream,
wherein the first quantized LSF vector, the second LSF vector, and the second adaptive broadening factor satisfy a first equation comprising:

OG Complex Work Unit Math
wherein β represents the second adaptive broadening factor, wherein LSFS represents the second LSF vector, wherein LSFP represents the first quantized LSF vector, wherein LSFS represents a mean vector associated with the second LSF vector, wherein i represents a vector index and is an integer, wherein 1≤i≤M, wherein M is a linear prediction order, and wherein w is a weighting coefficient.