公开(公告)号：US20160293176A1

公开(公告)日：2016-10-06

申请号：US15182751

申请日：2016-06-15

Applicant: GOOGLE INC.

Inventor： Minyue LI ,  Jan SKOGLUND ,  Willem Bastiaan KLEIJN

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

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.

Abstract translation: 提供了用于多声道音频的分层去相关的方法，系统和装置。 分层去相关算法被设计为适应输入信号的可能变化的特性，并且还保留原始信号的能量。 该算法是可逆的，因为如果需要，可以检索原始信号。 此外，所提出的算法将解相关过程分解为多个低复杂度步骤。 这些步骤的贡献通常是递减的，从而可以缩放算法的复杂性。

公开(公告)号：US20140112481A1

公开(公告)日：2014-04-24

申请号：US13655225

申请日：2012-10-18

Applicant: Google Inc.

Inventor： Minyue LI ,  Willem Bastiaan KLEIJN ,  Jan SKOGLUND

IPC: H04R5/00

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.

Abstract translation: 提供了用于多声道音频的分层去相关的方法，系统和装置。 分层去相关算法被设计为适应输入信号的可能变化的特性，并且还保留原始信号的能量。 该算法是可逆的，因为如果需要，可以检索原始信号。 此外，所提出的算法将解相关过程分解为多个低复杂度步骤。 这些步骤的贡献通常是递减的，从而可以缩放算法的复杂性。