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    • 1. 发明授权
    • Reverberation suppressing apparatus and reverberation suppressing method
    • 混响抑制装置和混响抑制方法
    • US08391505B2
    • 2013-03-05
    • US12791428
    • 2010-06-01
    • Kazuhiro NakadaiHirofumi NakajimaHiroshi OkunoRyu Takeda
    • Kazuhiro NakadaiHirofumi NakajimaHiroshi OkunoRyu Takeda
    • H04B3/20
    • H04M9/082
    • A reverberation suppressing apparatus separating sound source signals based on input signals output from microphones collecting the plurality of sound source signals, includes a sound signal output unit generating sound signals and outputting the generated sound signals, a sound acquiring unit acquiring the input signals from microphones, a first evaluation function calculation unit calculating a separation matrix, the input signals, and the sound source signals, and calculating a first evaluation function, a reverberation component suppressing unit calculating an optimal separation matrix, and suppressing a reverberation component by separating the sound source signals other than the generated sound signals, and a separation matrix updating unit dividing a step-size function, approximating each segment to a linear function, calculating step sizes based on the approximated linear functions, and repeatedly updating the separation matrix so that the degree of separation of the sound source signals exceeds the predetermined value.
    • 基于从收集多个声源信号的麦克风输出的输入信号分离声源信号的混响抑制装置包括产生声音信号并输出​​所生成的声音信号的声音信号输出单元,从麦克风获取输入信号的声音获取单元, 第一评估函数计算单元,计算分离矩阵,输入信号和声源信号,并计算第一评估函数,混响分量抑制单元计算最佳分离矩阵,并通过分离声源信号来抑制混响分量 除了产生的声音信号之外,还有分离矩阵更新单元,将步长函数除以近似线性函数,根据近似线性函数计算步长,并重复更新分离矩阵,使得分离度 的声音很酸 ce信号超过预定值。
    • 3. 发明授权
    • Dereverberation system and dereverberation method
    • 混沌系统和混响方法
    • US08265290B2
    • 2012-09-11
    • US12548871
    • 2009-08-27
    • Hirofumi NakajimaKazuhiro NakadaiYuji HasegawaHiroshi Tsujino
    • Hirofumi NakajimaKazuhiro NakadaiYuji HasegawaHiroshi Tsujino
    • H04B3/20
    • H04S1/002
    • Provided is a dereverberation system or the like which copes with an arbitrary condition flexibly and is capable of recognizing a sound or a sound source signal. According to the dereverberation system, an inverse filter (h) is set by using a pseudo-inverse matrix (R+) of a non-square matrix (R) as a correlation matrix of input signals (x). On the basis of the inverse filter (h) and an estimated correlation matrix (R^) generated according to a window function (w), an error cost (J(h) between a correlation value of the input signals (x) and output signals (y) and a desired correlation value (d) is calculated. On the basis of the error cost (J(h)), the inverse filter (h) is adaptively updated according to a gradient method.
    • 提供了一种能够灵活地处理任意条件并且能够识别声音或声源信号的混响系统等。 根据混响系统,通过使用非正方形矩阵(R)的伪逆矩阵(R +)作为输入信号(x)的相关矩阵来设置逆滤波器(h)。 根据逆滤波器(h)和根据窗函数(w)产生的估计相关矩阵(R ^),输入信号(x)的相关值和输出信号 计算信号(y)和期望的相关值(d),根据误差成本(J(h)),根据梯度法自适应地更新逆滤波器(h)。
    • 6. 发明申请
    • SOUND SOURCE SEPARATION SYSTEM
    • 声源分离系统
    • US20080306739A1
    • 2008-12-11
    • US12133691
    • 2008-06-05
    • Hirofumi NakajimaKazuhiro NakadaiYuji HasegawaHiroshi Tsujino
    • Hirofumi NakajimaKazuhiro NakadaiYuji HasegawaHiroshi Tsujino
    • G10L11/00
    • G06K9/6242G06K9/6245G10L21/028G10L2021/02166
    • A system capable of separating sound source signals with high precision while improving a convergence rate and convergence precision. A process of updating a current separation matrix Wk to a next separation matrix Wk+1 such that a next value J(Wk+1) of a cost function is closer to a minimum value J(W0) than a current value J(Wk) is iteratively performed. An update amount ΔWk of the separation matrix is increased as the current value J(Wk) of the cost function is increased and is decreased as a current gradient ∂J(Wk)/∂W of the cost function is rapid. On the basis of input signals x from a plurality of microphones Mi and an optimal separation matrix W0, it is possible to separate sound source signals y(=W0·x) with high precision while improving a convergence rate and convergence precision.
    • 一种能够在提高收敛速度和收敛精度的同时高精度地分离声源信号的系统。 将当前分离矩阵Wk更新为下一个分离矩阵Wk + 1的过程,使得成本函数的下一个值J(Wk + 1)比当前值J(Wk)更接近最小值J(W0) 被迭代地执行。 随着成本函数的当前值J(Wk)增加,并且随着成本函数的当前梯度∂J(Wk)/∂W)快速地减小,分离矩阵的更新量DeltaWk增加。 基于来自多个麦克风Mi和最佳分离矩阵W0的输入信号x,可以在提高收敛速度和收敛精度的同时高精度地分离声源信号y(= W0.x)。