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    • 3. 发明授权
    • Method for determining unbiased signal amplitude estimates after cepstral variance modification
    • 倒谱方差修正后确定无偏信号幅度估计的方法
    • US08208666B2
    • 2012-06-26
    • US12684147
    • 2010-01-08
    • Timo GerkmannRainer Martin
    • Timo GerkmannRainer Martin
    • H04R25/00
    • G10L21/0208G10L25/24
    • A method for determining unbiased signal amplitude estimates () after cepstral variance modification of a discrete time domain signal (s(t)), wherein the cepstrally-modified spectral amplitudes () of the discrete time domain signal (s(t)) are χ-distributed with 2{tilde over (μ)} degrees of freedom. A bias reduction factor (r) is determined using the equation r 2 = μ μ ~ ⁢ ⅇ ψ ⁡ ( μ ~ ) - ψ ⁡ ( μ ) , where 2μ are the degrees of freedom of the χ-distributed spectral amplitudes of the discrete time domain signal (s(t)) and ψ ⁡ ( x ) = - 0.5772 - ∑ n = 0 ∞ ⁢ ( 1 x + n - 1 1 + n ) ; then the unbiased signal amplitude estimates () are determined by multiplying the cepstrally-modified spectral amplitudes () with the bias reduction factor (r) according to the equation =r. A method for speech enhancement and a hearing aid use the method for determining unbiased signal amplitude estimates () in order to offer the advantage of spectral modification, such as smoothing, of spectral quantities without affecting their signal power.
    • 一种用于确定离散时域信号(s(t))的倒谱方差修正后的无偏信号幅度估计()的方法,其中离散时域信号(s(t))的经频谱修正的频谱幅度(χ)为χ 分布为2(波形)超过(μ)}自由度。 使用等式r 2 =μμ〜ψψ(μ〜)-ψ⁡(μ)确定偏置约简因子(r),其中2μ是离散时间的χ分布频谱幅度的自由度 域信号(s(t))和ψ⁡(x)= - 0.5772 - Σn = 0∞(1 x + n - 1 1 + n) 那么无偏信号幅度估计()通过将倒频修正的频谱幅度()与偏置简化因子(r)相乘来确定,方程式= r。 用于语音增强和助听器的方法使用用于确定无偏信号幅度估计()的方法,以便提供频谱修改的优点,例如频谱量化的平滑,而不影响其信号功率。
    • 8. 发明申请
    • Method for Determining Unbiased Signal Amplitude Estimates After Cepstral Variance Modification
    • 确定倒谱方差修正后无偏信号幅度估计的方法
    • US20100177916A1
    • 2010-07-15
    • US12684147
    • 2010-01-08
    • Timo GerkmannRainer Martin
    • Timo GerkmannRainer Martin
    • G10L21/02H04R25/00
    • G10L21/0208G10L25/24
    • A method for determining unbiased signal amplitude estimates () after cepstral variance modification of a discrete time domain signal (s(t)), wherein the cepstrally-modified spectral amplitudes () of the discrete time domain signal (s(t)) are X-distributed with 2{tilde over (μ)} degrees of freedom. A bias reduction factor (r) is determined using the equation r 2 = μ μ ~   ψ  ( μ ~ ) - ψ  ( μ ) , where 2μ are the degrees of freedom of the X-distributed spectral amplitudes of the discrete time domain signal (s(t)) and ψ  ( x ) = - 0.5772 - ∑ n = 0 ∞  ( 1 x + n - 1 1 + n ) ; then the unbiased signal amplitude estimates () are determined by multiplying the cepstrally-modified spectral amplitudes () with the bias reduction factor (r) according to the equation =. A method for speech enhancement and a hearing aid use the method for determining unbiased signal amplitude estimates () in order to offer the advantage of spectral modification, such as smoothing, of spectral quantities without affecting their signal power.
    • 一种用于确定离散时域信号(s(t))的倒谱方差修正之后的无偏信号幅度估计()的方法,其中离散时域信号(s(t))的经频谱修正的频谱幅度(X)为X 分布为2(波形)超过(μ)}自由度。 使用等式r 2 =μμ〜ψ(μ〜)ψ(μ)确定偏置约简因子(r),其中2μ是离散时间的X分布频谱幅度的自由度 域信号(s(t))和ψ(x)= - 0.5772 - Σn = 0∞(1 x + n - 1 1 + n); 那么无偏信号幅度估计()通过将倒频修正的频谱幅度()与偏置约简因子(r)相乘来确定。 用于语音增强和助听器的方法使用用于确定无偏信号幅度估计()的方法,以便提供频谱修改的优点,例如频谱量化的平滑,而不影响其信号功率。