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    • 11. 发明授权
    • Speech coding method using synthesis analysis using iterative
calculation of excitation weights
    • 使用迭代计算激励权重的语音编码方法
    • US5899968A
    • 1999-05-04
    • US860799
    • 1997-10-14
    • William NavarroMichel Mauc
    • William NavarroMichel Mauc
    • G10L19/10G10L9/14
    • G10L19/10
    • A linear prediction analysis is performed for each frame of a speech signal to determine the coefficients of a short-Term synthesis filter. For each sub-frame, an excitations sequence which, when applied to the short-term synthesis filter generates a synthetic signal representative of the speech signal, is determined by means of an iterative process in which a symmetrical matrix B.sub.n, is gradually built up with each iteration. The matrix B.sub.n is reversed with each iteration by decomposing the pattern B.sub.n =L.sub.n .multidot.R.sub.n.sup.T with L.sub.n =R.sub.n .multidot.K.sub.n where L.sub.n and R.sub.n are triangular matrices and K.sub.n is a diagonal matrix, and matrix L.sub.n has only 1s on its main diagonal.
    • PCT No.PCT / FR96 / 00005 Sec。 371日期1997年10月14日第 102(e)日期1997年10月14日PCT 1996年1月3日PCT PCT。 出版物WO96 / 21219 日期1996年7月11日对语音信号的每个帧执行线性预测分析,以确定短期合成滤波器的系数。 对于每个子帧,当施加到短期合成滤波器产生代表语音信号的合成信号时,通过迭代过程来确定兴奋序列,其中对称矩阵Bn逐渐与 每次迭代。 通过用Ln = RnxKn分解图形Bn = LnxRnT,其中Ln和Rn是三角矩阵,Kn是对角矩阵,并且矩阵Ln在其主对角线上只有1s,矩阵Bn被反转。
    • 13. 发明授权
    • Linear prediction speech coding method using spectral energy for
quantization mode selection
    • 使用频谱能量进行量化模式选择的线性预测语音编码方法
    • US5642465A
    • 1997-06-24
    • US465263
    • 1995-06-05
    • Sophie ScottWilliam Navarro
    • Sophie ScottWilliam Navarro
    • G10L19/038G10L3/00
    • G10L19/038
    • A speech signal digitized as successive frames is subjected to analysis-by-synthesis in order to obtain, for each frame, quantization values of synthesis parameters allowing reconstruction of an estimate of the speech signal. The analysis-by-synthesis includes short-term linear prediction of the speech signal in order to determine the quantization values of the coefficients of a short-term synthesis filter. A spectral state of the speech signal is determined from among first and second states such that the signal contains proportionally less energy at the low frequencies in the first state than in the second state, and one or the other of two modes of quantization is applied to obtain the quantization values of the coefficients of the short-term synthesis filter depending on the determined spectral state of the speech signal.
    • 数字化为连续帧的语音信号经过综合分析,以便为每个帧获得允许重建语音信号的估计的合成参数的量化值。 综合分析包括语音信号的短期线性预测,以便确定短期合成滤波器的系数的量化值。 从第一状态和第二状态确定语音信号的频谱状态,使得信号在第一状态下的低频处比在第二状态中具有成比例地较少的能量,并且将两种量化模式中的一种或另一种应用于 根据确定的语音信号的频谱状态,获得短期合成滤波器的系数的量化值。