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    • 4. 发明申请
    • A METHOD FOR RECOVERING TARGET SPEECH BASED ON SPEECH SEGMENT DETECTION UNDER A STATIONARY NOISE
    • 一种基于静态噪声下语音段检测的目标语音恢复方法
    • WO2005029463A9
    • 2005-07-07
    • PCT/JP2004012899
    • 2004-08-31
    • KITAKYUSHU FOUNDATIONUNIV KINKIGOTANDA HIROMUKANEDA KEIICHIKOYA TAKESHI
    • GOTANDA HIROMUKANEDA KEIICHIKOYA TAKESHI
    • G10L15/20G10L11/02G10L15/04G10L21/02G10L19/02
    • G10L21/0208G10L25/78
    • Method for recovering target speech by extracting signal components falling in a speech segment, which is determined based on separated signals obtained through the Independent Component Analysis, thereby minimizing the residual noise in the recovered target speech. The present method comprises: the first step of receiving target speech emitted from a sound source and a noise emitted from another sound source and extracting estimated spectra Y* corresponding to the target speech by use of the Independent Component Analysis; the second step of separating from the estimated spectra Y* an estimated spectrum series group y* in which the noise is removed by applying separation judgment criteria based on the kurtosis of the amplitude distribution of each of estimated spectrum series in Y*; the third step of detecting a speech segment and a noise segment of the total sum F of all the estimated spectrum series in y* by applying detection judgment criteria based on a predetermined threshold value T that is determined by the maximum value of F; and the fourth step of extracting components falling in the speech segment from the estimated spectra Y* to generate a recovered spectrum group of the target speech for recovering the target speech.
    • 用于通过提取落入语音片段中的信号分量来恢复目标语音的方法,该语音片段是基于通过独立分量分析获得的分离信号确定的,由此最小化恢复的目标语音中的残余噪声。 本方法包括:第一步骤,接收从声源发射的目标语音和从另一声源发射的噪声,并通过使用独立分量分析提取与目标语音相对应的估计谱Y * 第二步骤,从估计频谱Y *中分离估计频谱序列组y *,其中通过基于Y *中的每个估计频谱序列的振幅分布的峰度应用分离判断标准来去除噪声; 通过基于由F的最大值确定的预定阈值T应用检测判断标准来检测y *中的所有估计谱系列的总和F的语音片段和噪声片段的第三步骤; 以及第四步骤,从估计光谱Y *中提取落在语音片段中的分量,以生成用于恢复目标语音的目标语音的恢复光谱组。