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    • 2. 发明授权
    • Methods and apparatus for voice activity detection
    • 语音活动检测方法与装置
    • US07921008B2
    • 2011-04-05
    • US11858664
    • 2007-09-20
    • Heyun HuangTan LiFu-Huei Lin
    • Heyun HuangTan LiFu-Huei Lin
    • G10L11/06G10L21/02G10L15/20
    • G10L25/78G10L25/12
    • A method for detecting voice activity comprises pre-processing a first frame in an audio frame sequence, receiving a subsequent frame as a current frame, calculating weighted linear prediction energy of the current frame based on Nth-order linear prediction coefficients, determining whether the current frame contains a noise or speech, if a speech is indicated, performing linear prediction analysis on the current frame to derive new Nth-order linear prediction coefficients and updating the coefficients with the derived one; if a nose is indicated and not the last frame, repeating the calculating and determining process. The corresponding device comprises a component for storing Nth-order linear prediction coefficients, a component for performing linear prediction analysis, a component for computing weighted linear prediction energy and a component for determining whether the current frame contains speech or noise based on calculated weighted linear prediction energy.
    • 一种用于检测语音活动的方法包括预处理音频帧序列中的第一帧,接收随后的帧作为当前帧,基于N阶线性预测系数计算当前帧的加权线性预测能量,确定当前 帧包含噪声或语音,如果指示语音,对当前帧执行线性预测分析以导出新的N阶线性预测系数,并用导出的系数更新系数; 如果指示鼻子而不是最后一帧,则重复计算和确定过程。 相应的装置包括用于存储N阶线性预测系数的分量,用于执行线性预测分析的分量,用于计算加权线性预测能量的分量和用于基于计算的加权线性预测来确定当前帧是否包含语音或噪声的分量 能源。
    • 5. 发明授权
    • Methods and apparatuses of fast cross motion estimation for video encoding
    • 用于视频编码的快速交叉运动估计的方法和装置
    • US08139634B2
    • 2012-03-20
    • US11712845
    • 2007-02-28
    • Yaqiang DingJiang LinFu-Huei Lin
    • Yaqiang DingJiang LinFu-Huei Lin
    • H04N11/02
    • H04N19/557H04N19/51H04N19/533H04N19/56
    • This disclosure is related to a fast motion estimation method for implementing in a video encoder. A particular method includes determining early termination based on the value of a sum of absolute difference (SAD0). The method also includes performing motion prediction using a motion vector from a previous frame as a prediction point. The method further includes using the prediction point as the center to obtain the integral motion vector by conducting a 3×3 cross searching until a minimum sum of absolute difference (minSAD) is located at the center of the cross and predicting a location of a half-pixel point based upon a point corresponding to the integral motion vector, values of the minimum sum of absolute difference of other four cross points.
    • 本公开涉及用于在视频编码器中实现的快速运动估计方法。 一种特定方法包括基于绝对差值(SAD0)的值确定提前终止。 该方法还包括使用来自前一帧的运动矢量作为预测点来执行运动预测。 该方法还包括使用预测点作为中心,通过进行3×3交叉搜索来获得积分运动矢量,直到绝对差值(minSAD)的最小和位于十字的中心并预测一半的位置 基于与积分运动矢量相对应的点的像素点,其他四个交叉点的绝对差的最小和的值。