In speech signal processing, the techniques of speech segmentation as front end of preprocessing are of great importance to speech enhancement, coding and recognition.
在语音信号处理中，作为预处理前端的语音分段技术对于语音增强、编码和识别都有极其重要的作用。
A kind of single input channel speech enhancement algorithm based on signal subspace is studied for enhancement of speech degraded by colored additive noise.
针对加性有色噪声干扰，提出了一种单通道输入基于信号子空间的语音增强算法。
Speech enhancement tries to extract clean speech signal from original one with noise and improve the SNR of speech signal.
语音增强则从含噪信号中提取干净的语音信号，提高语音信号的信噪比。
An adaptive noise cancellation method is presented to extract desired signal from array cross talk signals, and is used to microphone array speech enhancement.
本文提出了一种针对阵列交叉串扰信号的自适应噪声抵消方法，并将其用于麦克风阵语音增强。
In order to extract the underlying clean speech signal from the noise speech signal and reduce the noise disturbance to the minimum, speech enhancement is needed.
为了从带噪语音信号中获得尽可能纯净的语音信号，减少噪音的干扰，就需进行语音增强。
Separation of speech in voice communications, acoustic target detection, sound signal enhancement, and so has important theoretical significance and practical value.
语音分离的研究在语音通信、声学目标检测、声音信号增强等方面有着重要的理论意义和实用价值。
To obtain clearer desired signal under multi-speaker environment, the time-frequency masking effect is used in post-processing of speech enhancement using blind source separation.
本文将时频掩蔽效应引入盲源分离语音增强系统中，给出一种基于时频掩蔽效应和盲源分离的语音增强方法，并将其与期望最大化方法进行了性能比较。
To obtain clearer desired signal under multi-speaker environment, the time-frequency masking effect is used in post-processing of speech enhancement using blind source separation.
本文将时频掩蔽效应引入盲源分离语音增强系统中，给出一种基于时频掩蔽效应和盲源分离的语音增强方法，并将其与期望最大化方法进行了性能比较。
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