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    • 2. 发明授权
    • Process for searching for a noise model in noisy audio signals
    • 用于在噪声音频信号中搜索噪声模型的过程
    • US06438513B1
    • 2002-08-20
    • US09446886
    • 1999-12-30
    • Dominique PastorGérard Reynaud
    • Dominique PastorGérard Reynaud
    • G06F316
    • G10L21/0208G10L2021/02168
    • A process for the denoising of audio signals picked up in a noisy environment, for example in the cockpit of an aircraft or of another vehicle, and more precisely to the searching for a noise model in the audio signals. Input signals are digitized, and these signals are processed on the basis of a noise model, in principle with a view to eliminate as far as possible the noise corresponding to the model. The input signals are chopped into successive frames of P samples each, and a repetitive search for a noise model is performed continuously in the input signals themselves, by searching for N successive frames (N lying between a minimum N1 and a maximum N2) having the expected characteristics of a noise, by storing N×P corresponding samples so as to construct a noise model useful in the denoising processing of the input signals and by iteratively repeating the search so as to find a new noise model and to store the new noise model as a replacement for the previously stored noise mode or to retain the previously stored noise model according to the respective characteristics of the two models. The model is obtained by finding N frames whose energies are close to one another (ratio of energies lying between two values S and 1/S).
    • 用于在噪声环境中拾取的音频信号去噪的过程,例如在飞机或另一车辆的驾驶舱中,更准确地说是在音频信号中搜索噪声模型。 输入信号被数字化,并且这些信号原则上是基于噪声模型来处理的,以便尽可能地消除对应于模型的噪声。 将输入信号切成连续的P个采样帧,对输入信号本身连续执行噪声模型的重复搜索,通过搜索N个连续帧(N位于最小N1和最大N2之间),具有 预期的噪声特性,通过存储N×P个对应样本,以便构建用于输入信号的去噪处理中有用的噪声模型,并且通过迭代重复搜索,以便找到新的噪声模型并将新的噪声模型存储为 替换以前存储的噪声模式或者根据两个模型的相应特征保留先前存储的噪声模型。 该模型通过找到能量彼此接近的N个帧获得(在两个值S和1 / S之间的能量比)。
    • 3. 发明授权
    • Method of frequency filtering applied to noise suppression in signals implementing a wiener filter
    • 用于实现维纳滤波器的信号中的噪声抑制的频率滤波方法
    • US06445801B1
    • 2002-09-03
    • US09196138
    • 1998-11-20
    • Dominique PastorGérard ReynaudPierre-Albert Breton
    • Dominique PastorGérard ReynaudPierre-Albert Breton
    • H04B1500
    • G10L21/0208
    • The disclosed method uses the Wiener frequency filtering to suppress noise in noisy sound signals (u(t)). This method includes a preliminary step in which the sound signals (u(t)) to be noise-suppressed are digitized by sampling and subdivided into frames. The method then includes a first series of steps including the creation of a noise model on N frames, the estimating of the spectral density of the noise and of the energy of the noise model and the computing of a coefficient that reflects the statistical dispersion of the noise. It also includes a second series of steps including the computation of the spectral density of the signals to be noise-suppressed fore each frame. The coefficients of the Wiener filter are modified for each successively processed frame, by the parameters determined at the end of the two series of steps, so as to introduce an energy compensation and an adaptive overestimation of the noise.
    • 所公开的方法使用维纳频率滤波来抑制噪声信号(u(t))中的噪声。 该方法包括一个预先步骤,其中要噪声抑制的声音信号(u(t))通过采样被数字化并被细分成帧。 该方法然后包括第一系列步骤,包括在N帧上创建噪声模型,估计噪声的频谱密度和噪声模型的能量,以及反映系统的统计色散的系数的计算 噪声。 它还包括第二系列步骤,包括在每帧之前计算待噪声抑制的信号的频谱密度。 通过在两个步骤结束时确定的参数,为每个连续处理的帧修改维纳滤波器的系数,以便引入能量补偿和噪声的自适应过高估计。