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公开(公告)号:KR100839065B1
公开(公告)日:2008-06-19
申请号:KR1020070076351
申请日:2007-07-30
Abstract: A voice detector and a voice detection method are provided to apply an optimized weight derived from a minimum classification error scheme to each frequency band likelihood ratio and calculate the geometric average value of the each frequency band likelihood ratio, thereby improving voice detection performance and detecting a voice signal efficiently even in environment with heavy noise. A voice detector comprises an input unit(10) and an analysis unit(20). The input unit receives a signal including a voice signal and performs the DFT(Discrete Fourier Transform) conversion of the received signal. The analysis unit comprises a likelihood ratio calculating module(21), a weight applying module(22), and a voice detecting module(23). The likelihood ratio calculating module calculates a likelihood ratio by frequency band of the converted signal. The weight applying module multiplies the likelihood ratio by frequency band by different weights to calculate the likelihood ratio to which the weight is applied. The voice detecting module compares a geometric average value of the calculated likelihood ratios with a preset value to measure whether the converted signal includes the voice signal. Further, the weight applying module calculates weight in frequency band by an MCE(minimum classification error) method.
Abstract translation: 提供语音检测器和语音检测方法,对每个频带似然比应用从最小分类误差方案导出的优化权重,并计算每个频带似然比的几何平均值,从而提高语音检测性能并检测 即使在环境噪音较大的情况下也能有效地发出语音信号。 语音检测器包括输入单元(10)和分析单元(20)。 输入单元接收包括语音信号的信号,并执行接收信号的DFT(离散傅里叶变换)转换。 分析单元包括似然比计算模块(21),加权应用模块(22)和语音检测模块(23)。 似然比计算模块根据转换后的信号的频带计算似然比。 权重应用模块将似然比乘以频带不同的权重,以计算应用权重的似然比。 语音检测模块将计算出的似然比的几何平均值与预设值进行比较,以测量转换的信号是否包括语音信号。 此外,权重施加模块通过MCE(最小分类误差)方法计算频带的权重。