公开(公告)号：US10367601B2

公开(公告)日：2019-07-30

申请号：US15236025

申请日：2016-08-12

Applicant: Google LLC

Inventor： Tina le Grand ,  Niklas Blum ,  Minyue Li ,  Henrik Lundin ,  Michael Tschumi ,  Alexander Narest

IPC: H03M13/00 ,  H04L1/00

Abstract: Control logic determines when a network condition has changed by evaluating network condition data. Based on a detected network condition change, the control logic reorders an encoder parameter controller execution sequence of a plurality of encoder parameter controllers. The control logic configures the plurality of reordered encoder parameter controllers so that an encoder parameter determination from a prior encoder parameter controller is used as a decision input for a subsequent encoder parameter controller. An encoder encodes data, such as audio data, video data or other type of data using the generated encoder control parameters from the reordered plurality of encoder parameter controllers. A related method is also disclosed.

公开(公告)号：US20190096418A1

公开(公告)日：2019-03-28

申请号：US16197645

申请日：2018-11-21

Applicant: GOOGLE LLC

Inventor： Minyue Li ,  Willem Bastiaan Kleijn ,  Jan Skoglund

IPC: G10L19/24 ,  G10L19/008 ,  G10L19/16 ,  G10L19/035 ,  G10L19/02

CPC classification number: G10L19/24 ,  G10L19/008 ,  G10L19/0212 ,  G10L19/035 ,  G10L19/167

Abstract: Provided are methods, systems, and apparatus for hierarchical decorrelation of multichannel audio. A hierarchical decorrelation algorithm is designed to adapt to possibly changing characteristics of an input signal, and also preserves the energy of the original signal. The algorithm is invertible in that the original signal can be retrieved if needed. Furthermore, the proposed algorithm decomposes the decorrelation process into multiple low-complexity steps. The contribution of these steps is generally in a decreasing order, and thus the complexity of the algorithm can be scaled.

公开(公告)号：US20200176009A1

公开(公告)日：2020-06-04

申请号：US16780506

申请日：2020-02-03

Applicant: GOOGLE LLC

Inventor： Minyue Li ,  Willem Bastiaan Kleijn ,  Jan Skoglund

IPC: G10L19/24 ,  G10L19/16 ,  G10L19/035 ,  G10L19/02 ,  G10L19/008

Abstract: Provided are methods, systems, and apparatus for hierarchical decorrelation of multichannel audio. A hierarchical decorrelation algorithm is designed to adapt to possibly changing characteristics of an input signal, and also preserves the energy of the original signal. The algorithm is invertible in that the original signal can be retrieved if needed. Furthermore, the proposed algorithm decomposes the decorrelation process into multiple low-complexity steps. The contribution of these steps is generally in a decreasing order, and thus the complexity of the algorithm can be scaled.

公开(公告)号：US10553234B2

公开(公告)日：2020-02-04

申请号：US16197645

申请日：2018-11-21

Applicant: GOOGLE LLC

Inventor： Minyue Li ,  Willem Bastiaan Kleijn ,  Jan Skoglund

IPC: G10L19/24 ,  G10L19/008 ,  G10L19/02 ,  G10L19/035 ,  G10L19/16

Abstract: Provided are methods, systems, and apparatus for hierarchical decorrelation of multichannel audio. A hierarchical decorrelation algorithm is designed to adapt to possibly changing characteristics of an input signal, and also preserves the energy of the original signal. The algorithm is invertible in that the original signal can be retrieved if needed. Furthermore, the proposed algorithm decomposes the decorrelation process into multiple low-complexity steps. The contribution of these steps is generally in a decreasing order, and thus the complexity of the algorithm can be scaled.

公开(公告)号：US11380342B2

公开(公告)日：2022-07-05

申请号：US16780506

申请日：2020-02-03

Applicant: GOOGLE LLC

Inventor： Minyue Li ,  Willem Bastiaan Kleijn ,  Jan Skoglund

IPC: G10L19/00 ,  G10L19/24 ,  G10L19/008 ,  G10L19/02 ,  G10L19/035 ,  G10L19/16

Abstract: Provided are methods, systems, and apparatus for hierarchical decorrelation of multichannel audio. A hierarchical decorrelation algorithm is designed to adapt to possibly changing characteristics of an input signal, and also preserves the energy of the original signal. The algorithm is invertible in that the original signal can be retrieved if needed. Furthermore, the proposed algorithm decomposes the decorrelation process into multiple low-complexity steps. The contribution of these steps is generally in a decreasing order, and thus the complexity of the algorithm can be scaled.