首页> 外国专利> Adaptive filter featuring spectral gain smoothing and variable noise multiplier for noise reduction, and method therefor

Adaptive filter featuring spectral gain smoothing and variable noise multiplier for noise reduction, and method therefor

机译:具有频谱增益平滑和可变噪声乘法器以降低噪声的自适应滤波器及其方法

摘要

An adaptive filter is provided featuring a speech spectrum estimator receiving as input an estimated spectral magnitude signal for a time frame of the input signal and generating an estimated speech spectral magnitude signal representing estimated spectral magnitude values for speech in a time frame. A spectral gain generator receives as input the estimated spectral magnitude signal and the estimated speech spectral magnitude signal and generates as output an initial spectral gain signal that yields an estimate of speech spectrum in a time frame of the input signal when the initial spectral gain signal is applied to the spectral signal. A spectral gain modifier receives as input the initial spectral gain signal and generates a modified gain signal by limiting a rate of change of the initial spectral gain signal with respect to the spectral gain over a number of previous time frames. The modified gain signal is then applied to the spectral signal, which is then converted to its time domain equivalent. The value of the noise multiplier is larger when a time frame of the input signal contains more noise than speech and is smaller when a time frame of the input signal contains more speech than noise.
机译:提供了一种自适应滤波器,其特征在于语音频谱估计器接收输入信号的时间帧的估计频谱幅度信号作为输入并生成表示语音帧的估计频谱幅度值的估计语音频谱幅度信号作为输入。频谱增益发生器接收估计的频谱幅度信号和估计的语音频谱幅度信号作为输入,并生成初始频谱增益信号作为输出,该初始频谱增益信号在初始频谱增益信号为时在输入信号的时间范围内产生语音频谱的估计。应用于频谱信号。频谱增益修改器接收初始频谱增益信号作为输入,并通过在多个先前时间帧上限制初始频谱增益信号相对于频谱增益的变化率来生成修改后的增益信号。然后将修改后的增益信号应用于频谱信号,然后将其转换为等效的时域。当输入信号的时间帧包含的语音多于语音时,噪声乘数的值较大;而当输入信号的时间帧包含的语音多于噪声时,噪声乘数的值较小。

著录项

  • 公开/公告号US6351731B1

    专利类型

  • 公开/公告日2002-02-26

    原文格式PDF

  • 申请/专利权人 POLYCOM INC.;

    申请/专利号US19990371306

  • 申请日1999-08-10

  • 分类号G10L110/20;

  • 国家 US

  • 入库时间 2022-08-22 00:46:57

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