US 11,776,553 B2Granted

Audio signal encoding method and apparatus

AssigneeHuawei Technologies Co., Ltd.

InventorsEyal Shlomot, Jonathan Alastair Gibbs, Halting Li

Life of this patent

Estimating the term…

Abstract

An encoding method includes determining an adaptive broadening factor based on a quantized line spectral frequency (LSF) vector of a first channel of a current frame of an audio signal and an LSF vector of a second channel of the current frame, and writing the quantized LSF vector and the adaptive broadening factor into a bitstream.

Claims20

Dependent claims

An audio signal encoding method, comprising:

obtaining a current frame of an audio signal, wherein the current frame comprises a first channel and a second channel;
obtaining a first quantized line spectral frequency (LSF) vector of the first channel;
obtaining a second LSF vector of the second channel;
obtaining a first adaptive broadening factor based on the first quantized LSF vector and the second LSF vector at least in part by:
calculating a second adaptive broadening factor based on the first quantized LSF vector and the second LSF vector;
and
quantizing the second adaptive broadening factor to obtain the first 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:
β
=
∑
i
=
1
M
w
i
[
-
LSF
_
S
2
(
i
)
+
LSF
S
(
i
)
⁢
LSF
_
S
(
i
)
-
LSF
S
(
i
)
⁢
LSF
P
(
i
)
+
LSF
_
S
⁢
(
i
)
⁢
LSF
P
(
i
)
]
∑
i
=
1
M
w
i
[
-
LSF
_
S
2
(
i
)
-
LSF
P
2
(
i
)
+
2
⁢
LSF
_
S
(
i
)
⁢
LSF
P
(
i
)
]
,
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 is a vector index, wherein i is an integer and 1≤i≤M, wherein M is a linear prediction order, and wherein w is a weighting coefficient.

106 more elements

An audio signal encoding apparatus, comprising:

at least one processor;
and
one or more memories coupled to the at least one processor and configured to store programming instructions for execution by the at least one processor to cause the audio signal encoding apparatus to:
obtain a current frame of an audio signal, wherein the current frame comprises a first channel and a second channel;
obtain a first quantized line spectral frequency (LSF) vector of the first channel;
obtain a second LSF vector of the second channel;
obtain a first adaptive broadening factor based on the first quantized LSF vector and the second LSF vector at least in part by:
calculating a second adaptive broadening factor based on the first quantized LSF vector and the second LSF vector;
and
quantizing the second adaptive broadening factor to obtain the first adaptive broadening factor;
and
write 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:
β
=
∑
i
=
1
M
w
i
[
-
LSF
_
S
2
(
i
)
+
LSF
S
(
i
)
⁢
LSF
_
S
(
i
)
-
LSF
S
(
i
)
⁢
LSF
P
(
i
)
+
LSF
_
S
(
i
)
⁢
LSF
P
(
i
)
]
∑
i
=
1
M
w
i
[
-
LSF
_
S
2
(
i
)
-
LSF
P
2
(
i
)
+
2
⁢
LSF
_
S
(
i
)
⁢
LSF
P
(
i
)
]
,
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 is a vector index, wherein i is an integer and 1≤i≤M, wherein M is a linear prediction order, and wherein w is a weighting coefficient.

108 more elements

A computer program product comprising computer-executable instructions that are stored on a non-transitory computer-readable medium and that, when executed by a processor, cause an audio signal encoding apparatus to:

obtain a current frame of an audio signal, wherein the current frame comprises a first channel and a second channel;
obtain a first quantized line spectral frequency (LSF) vector of the first channel;
obtain a second LSF vector of the second channel;
obtain a first adaptive broadening factor based on the first quantized LSF vector and the second LSF vector at least in part by:
calculating a second adaptive broadening factor based on the first quantized LSF vector and the second LSF vector;
and
quantizing the second adaptive broadening factor to obtain the first adaptive broadening factor;
and
write 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:
β
=
∑
i
=
1
M
w
i
[
-
LSF
_
S
2
(
i
)
+
LSF
S
(
i
)
⁢
LSF
_
S
(
i
)
-
LSF
S
(
i
)
⁢
LSF
P
(
i
)
+
LSF
_
S
(
i
)
⁢
LSF
P
(
i
)
]
∑
i
=
1
M
w
i
[
-
LSF
_
S
2
(
i
)
-
LSF
P
2
(
i
)
+
2
⁢
LSF
_
S
(
i
)
⁢
LSF
P
(
i
)
]
,
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 is a vector index, wherein i is an integer and 1≤i≤M, wherein M is a linear prediction order, and wherein w is a weighting coefficient.

105 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/962,878Filed 10 Oct 2022 · continuation
Priority: CN 201810713020.129 Jun 2018
Published: US 2023/0039606 A19 Feb 2023
Granted: 3 Oct 2023
Term ends: Not estimatedThe source records don’t support an estimate.

Classification6 codes

G10L 19/008
Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals,…:…
G10L 19/038
Quantisation or dequantisation of spectral components: vector quantisation, e.g. TwinVQ audio
G10L 19/06
Using predictive techniques: determination or coding of the spectral characteristics, e.g. of the short-term prediction coefficients
G10L 19/032
Using spectral analysis, e.g. transform vocoders or subband vocoders: quantisation or dequantisation of spectral components

Family

PCT/CN2019/093403Parent of this continuation · filed 27 Jun 2019
Application17/135,548Parent of this continuation · filed 28 Dec 2020
US 2023/0039606 A1Pre-grant publication · published 9 Feb 2023
US 11,501,784 B2Parent of this continuation
US 2021/0118455 A1Published application
US 11,776,553 B2This patent

From the US filing history. Foreign family members aren’t listed.

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Abstract

Facts

Application

17/962,878Filed 10 Oct 2022 · continuation

Priority

CN 201810713020.129 Jun 2018

Published

US 2023/0039606 A19 Feb 2023

Granted

3 Oct 2023

Term ends

Not estimatedThe source records don’t support an estimate.

Classification6 codes

G10L 19/008
Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals,…:…
G10L 19/038
Quantisation or dequantisation of spectral components: vector quantisation, e.g. TwinVQ audio
G10L 19/06
Using predictive techniques: determination or coding of the spectral characteristics, e.g. of the short-term prediction coefficients
G10L 19/032
Using spectral analysis, e.g. transform vocoders or subband vocoders: quantisation or dequantisation of spectral components

Family

PCT/CN2019/093403Parent of this continuation · filed 27 Jun 2019

Application17/135,548Parent of this continuation · filed 28 Dec 2020

US 2023/0039606 A1Pre-grant publication · published 9 Feb 2023

US 11,501,784 B2Parent of this continuation

US 2021/0118455 A1Published application

US 11,776,553 B2This patent

From the US filing history. Foreign family members aren’t listed.