公开(公告)号：US20180234612A1

公开(公告)日：2018-08-16

申请号：US15785977

申请日：2017-10-17

Applicant: Dolby Laboratories Licensing Corporation

Inventor： Timo KUNKEL ,  Cong ZHOU ,  Vivek KUMAR ,  Remi S. AUDFRAY

IPC: H04N5/232 ,  G06T7/70 ,  H04N5/04 ,  B64C39/02

CPC classification number: H04N5/23203 ,  B64C39/024 ,  B64C2201/027 ,  B64C2201/108 ,  B64C2201/127 ,  G06T7/70 ,  G06T2207/10016 ,  H04N5/04 ,  H04N5/23206 ,  H04N5/23216 ,  H04N5/23222 ,  H04N5/23293

Abstract: Methods, systems, and computer program products for automatically positioning a content capturing device are disclosed. A vehicle, e.g., an UAV, carries the content capturing device, e.g., a camcorder. The UAV can position the content capturing device at a best location for viewing a subject based on one or more audio or visual cues. The UAV can follow movement of the subject to achieve best audio or visual effect. In some implementations, a controller device carried by the subject can generate one or more signals for the UAV to follow. The controller device may be coupled to a microphone that records audio. The signals can be used to temporally synchronize video captured at the UAV and audio captured by the microphone.

公开(公告)号：US20180218576A1

公开(公告)日：2018-08-02

申请号：US15747096

申请日：2016-08-03

Applicant: DOLBY LABORATORIES LICENSING CORPORATION ,  DOLBY INTERNATIONAL AB

Inventor： Sunil BHARITKAR ,  Charles Q. ROBINSON ,  Vivek KUMAR ,  Jeffrey RIEDMILLER ,  Christof FERSCH

IPC: G08B6/00 ,  G10L19/16

CPC classification number: G08B6/00 ,  G06F3/016 ,  G10L19/00 ,  G10L19/167

Abstract: Techniques for low bit rate parametric encoding of haptic-tactile signals. The techniques encompass a parametric encoding method. The parametric encoding method includes the steps of: for at least one frame of a plurality of frames of a source haptic-tactile signal, representing the source haptic-tactile signal in the frame as a set of parameters and according to a functional representation; and including the set of parameters in a bit stream that encodes the source haptic-tactile signal. The functional representation is based on one of a set of orthogonal functionals, or polynomial approximation. For example, the functional representation can be based on one of Chebyshev functionals of the first kind through order n, Chebyshev functionals of the second kind through order n, or k-th order polynomial approximation.

公开(公告)号：US20210082444A1

公开(公告)日：2021-03-18

申请号：US17046284

申请日：2019-04-10

Applicant: Dolby Laboratories Licensing Corporation

Inventor： Roy M. FEJGIN ,  Grant A. DAVIDSON ,  Chih-Wei WU ,  Vivek KUMAR

IPC: G10L19/022 ,  G06F3/16 ,  G06N3/08 ,  G06N3/04

Abstract: Computer-implemented methods for training a neural network, as well as for implementing audio encoders and decoders via trained neural networks, are provided. The neural network may receive an input audio signal, generate an encoded audio signal and decode the encoded audio signal. A loss function generating module may receive the decoded audio signal and a ground truth audio signal, and may generate a loss function value corresponding to the decoded audio signal. Generating the loss function value may involve applying a psychoacoustic model. The neural network may be trained based on the loss function value. The training may involve updating at least one weight of the neural network.

公开(公告)号：US20190027157A1

公开(公告)日：2019-01-24

申请号：US16072168

申请日：2017-01-26

Applicant: Dolby Laboratories Licensing Corporation

Inventor： Nicolas R. TSINGOS ,  Zachary Gideon COHEN ,  Vivek KUMAR

IPC: G10L19/032 ,  G10L19/002

CPC classification number: G10L19/032 ,  G10L19/00 ,  G10L19/002 ,  G10L19/20 ,  H03M1/00

Abstract: An importance metric, based at least in part on an energy metric, may be determined for each of a plurality of received audio objects. Some methods may involve: determining a global importance metric for all of the audio objects, based, at least in part, on a total energy value calculated by summing the energy metric of each of the audio objects; determining an estimated quantization bit depth and a quantization error for each of the audio objects; calculating a total noise metric for all of the audio objects, the total noise metric being based, at least in part, on a total quantization error corresponding with the estimated quantization bit depth; calculating a total signal-to-noise ratio corresponding with the total noise metric and the total energy value; and determining a final quantization bit depth for each of the audio objects by applying a signal-to-noise ratio threshold to the total signal-to-noise ratio.

公开(公告)号：US20150380000A1

公开(公告)日：2015-12-31

申请号：US14766371

申请日：2014-01-22

Applicant: DOLBY LABORATORIES LICENSING CORPORATION

Inventor： Vinay MELKOTE ,  Kuan-Chieh YEN ,  Grant A. DAVIDSON ,  Matthew FELLERS ,  Mark S. VINTON ,  Vivek KUMAR

IPC: G10L19/008 ,  G10L19/06 ,  H04S3/00 ,  G10L25/06

CPC classification number: G10L19/008 ,  G10L19/02 ,  G10L19/06 ,  G10L25/06 ,  H04S3/008 ,  H04S5/00

Abstract: Audio processing methods may involve receiving audio data corresponding to a plurality of audio channels. The audio data may include a frequency domain representation corresponding to filterbank coefficients of an audio encoding or processing system. A decorrelation process may be performed with the same filterbank coefficients used by the audio encoding or processing system. The decorrelation process may be performed without converting coefficients of the frequency domain representation to another frequency domain or time domain representation. The decorrelation process may involve selective or signal-adaptive decorrelation of specific channels and/or specific frequency bands. The decorrelation process may involve applying a decorrelation filter to a portion of the received audio data to produce filtered audio data. The decorrelation process may involve using a non-hierarchal mixer to combine a direct portion of the received audio data with the filtered audio data according to spatial parameters.

Abstract translation: 音频处理方法可以涉及接收对应于多个音频频道的音频数据。 音频数据可以包括对应于音频编码或处理系统的滤波器组系数的频域表示。 解相关处理可以用音频编码或处理系统使用的相同的滤波器组系数执行。 可以在不将频域表示的系数转换到另一频域或时域表示的情况下执行去相关处理。 解相关过程可以涉及特定信道和/或特定频带的选择性或信号自适应去相关。 解相关过程可以包括将去相关滤波器应用于所接收的音频数据的一部分以产生滤波后的音频数据。 去相关处理可以包括使用非层级混合器来根据空间参数将接收的音频数据的直接部分与经滤波的音频数据组合。

公开(公告)号：US20240079019A1

公开(公告)日：2024-03-07

申请号：US18507824

申请日：2023-11-13

Applicant: Dolby Laboratories Licensing Corporation

Inventor： Roy M. FEJGIN ,  Grant A. DAVIDSON ,  Chih-Wei WU ,  Vivek KUMAR

IPC: G10L19/022 ,  G06F3/16 ,  G06N3/048 ,  G06N3/084

CPC classification number: G10L19/022 ,  G06F3/16 ,  G06N3/048 ,  G06N3/084

Abstract: Computer-implemented methods for training a neural network, as well as for implementing audio encoders and decoders via trained neural networks, are provided. The neural network may receive an input audio signal, generate an encoded audio signal and decode the encoded audio signal. A loss function generating module may receive the decoded audio signal and a ground truth audio signal, and may generate a loss function value corresponding to the decoded audio signal. Generating the loss function value may involve applying a psychoacoustic model. The neural network may be trained based on the loss function value. The training may involve updating at least one weight of the neural network.

公开(公告)号：US20150371646A1

公开(公告)日：2015-12-24

申请号：US14767867

申请日：2014-01-22

Applicant: Dolby Laboratories Licensing Corporation

Inventor： Vinay MELKOTE ,  Kuan-Chieh YEN ,  Matthew FELLERS ,  Grant A. DAVIDSON ,  Vivek KUMAR

IPC: G10L19/008 ,  G10L25/06 ,  G10L25/09 ,  H04S3/00

CPC classification number: G10L19/008 ,  G10H2250/061 ,  G10H2250/225 ,  G10H2250/575 ,  G10L25/06 ,  G10L25/09 ,  H04S3/008 ,  H04S5/00 ,  H04S2400/01 ,  H04S2400/03 ,  H04S2420/03 ,  H04S2420/07

Abstract: Decorrelation filter parameters for audio data may be based, at least in part, on audio characteristics such as tonality information and/or transient information. Determining the audio characteristics may involve receiving explicit audio characteristics with the audio data and/or determining audio characteristics based on one or more attributes of the audio data. The decorrelation filter parameters may include dithering parameters and/or randomly selected pole locations for at least one pole of an all-pass filter. The dithering parameters and/or pole locations may involve a maximum stride value for pole movement. In some examples, the maximum stride value may be substantially zero for highly tonal signals of the audio data. The dithering parameters and/or pole locations may be bounded by constraint areas within which pole movements are constrained. The constraint areas may or may not be fixed. In some implementations, different channels of the audio data may share the same constraint areas.

Abstract translation: 音频数据的解相关滤波器参数可以至少部分地基于诸如音调信息和/或瞬态信息的音频特性。 确定音频特征可以包括基于音频数据的一个或多个属性来接收具有音频数据的显式音频特征和/或确定音频特性。 去相关滤波器参数可以包括全通滤波器的至少一个极点的抖动参数和/或随机选择的极点位置。 抖动参数和/或极点位置可能涉及极运动的最大步幅值。 在一些示例中，对于音频数据的高音调信号，最大步幅值可以基本为零。 抖动参数和/或极点位置可以限制极限运动受限制的约束区域。 约束区域可以是或可以不是固定的。 在一些实现中，音频数据的不同频道可以共享相同的约束区域。