公开(公告)号：US20150199959A1

公开(公告)日：2015-07-16

申请号：US13891978

申请日：2013-05-10

Applicant: Google Inc.

Inventor： Jan SKOGLUND ,  Andrew J. HINES ,  Noami A. HARTE ,  Anil KOKARAM

IPC: G10L15/00

CPC classification number: G10L25/60

Abstract: Methods and systems are provided for using a model of human speech quality perception to provide an objective measure for predicting subjective quality assessments. A Virtual Speech Quality Objective Listener (ViSQOL) model is a signal-based full-reference metric that uses a spectro-temporal measure of similarity between a reference signal and test speech signal. Specifically, the model provides for the ability to detect and predict the level of clock drift, and determine whether such clock drift will impact a listener's quality of experience.

Abstract translation: 提供了使用人类语言质量感知模型的方法和系统来提供用于预测主观质量评估的客观量度。 虚拟语音质量目标监听器（ViSQOL）是一种基于信号的全参考度量，它使用参考信号和测试语音信号之间的相似性的频谱测量。 具体来说，该模型提供了检测和预测时钟漂移水平的能力，并确定这种时钟漂移是否会影响听众的体验质量。

公开(公告)号：US20160205415A1

公开(公告)日：2016-07-14

申请号：US15077232

申请日：2016-03-22

Applicant: GOOGLE INC.

Inventor： Anil KOKARAM ,  Damien KELLY ,  Andrew Joseph CRAWFORD ,  Hugh Pierre DENMAN

IPC: H04N19/65 ,  G06T5/40 ,  H04N5/14 ,  H04N19/80 ,  H04N19/85

CPC classification number: H04N19/65 ,  G06T5/002 ,  G06T5/40 ,  G06T2207/10016 ,  G06T2207/20182 ,  H04N5/145 ,  H04N19/117 ,  H04N19/142 ,  H04N19/179 ,  H04N19/80 ,  H04N19/85 ,  H04N19/86

Abstract: Described herein are techniques related to noise reduction for image sequences or videos. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope and meaning of the claims. A noise reduction tool includes a motion estimator configured to estimated motion in the video, a noise spectrum estimator configured to estimate noise in the video, a shot detector configured to trigger the noise estimation process, a noise spectrum validator configured to validate the estimated noise spectrum, and a noise reducer to reduce noise in the video using the estimated noise spectrum.

Abstract translation: 这里描述了与图像序列或视频的降噪有关的技术。 提交本摘要的理解是，它不会用于解释或限制权利要求的范围和含义。 降噪工具包括被配置为估计视频中的运动的运动估计器，被配置为估计视频中的噪声的噪声谱估计器，被配置为触发噪声估计处理的镜头检测器，被配置为验证估计噪声谱 ，以及使用估计的噪声谱减少视频中的噪声的降噪器。

公开(公告)号：US20150199979A1

公开(公告)日：2015-07-16

申请号：US13899381

申请日：2013-05-21

Applicant: Google, Inc.

Inventor： Andrew J. HINES ,  Jan SKOGLUND ,  Naomi HARTE ,  Anil KOKARAM

IPC: G10L25/78

CPC classification number: G10L25/78 ,  G10L21/0232 ,  G10L25/60

Abstract: Methods and systems are provided for detecting chop in an audio signal. A time-frequency representation, such as a spectrogram, is created for an audio signal and used to calculate a gradient of mean power per frame of the audio signal. Positive and negative gradients are defined for the signal based on the gradient of mean power, and a maximum overlap offset between the positive and negative gradients is determined by calculating a value that maximizes the cross-correlation of the positive and negative gradients. The negative gradient values may be combined (e.g., summed) with the overlap offset, and the combined values then compared with a threshold to estimate the amount of chop present in the audio signal. The chop detection model provided is low-complexity and is applicable to narrowband, wideband, and superwideband speech.

Abstract translation: 提供了用于检测音频信号中的斩波的方法和系统。 为音频信号创建时频表示，如频谱图，用于计算音频信号每帧平均功率的梯度。 基于平均功率梯度的信号定义正和负梯度，通过计算使正和负梯度的互相关最大化的值来确定正梯度和负梯度之间的最大重叠偏移。 负梯度值可以与重叠偏移组合（例如，相加），然后将组合值与阈值进行比较以估计音频信号中存在的斩波量。 提供的斩波检测模型是低复杂度的，适用于窄带，宽带和超宽带语音。