BARK wavelet is used in the speech enhancement.
在语音增强中使用了Bark子波。
The phase space denoising is applied to speech enhancement.
将相空间降噪方法应用于语音增强之中。
Morphological filter is a kind of new nonlinear speech enhancement algorithm.
形态学滤波器是一种新的非线性语音增强算法。
A speech enhancement algorithm based on auditory masking effect is presented.
提出了一种基于听觉掩蔽效应的语音增强算法。
Noise power spectrum estimation is a fundamental component of speech enhancement.
噪声功率谱估计是语音增强系统的一个重要组成部分。
An approach to speech enhancement based on auditory masking properties is presented.
采用了一种基于人耳听觉掩蔽效应的语音增强算法。
Microphone array speech enhancement is the most common method of speech enhancement.
麦克风阵列语音增强是语音增强中最常用的一种方式。
Speech enhancement based on blind source separation with post-processing in subband.
基于子带盲源分离和后置处理的语音增强方法。
A new method based on masking properties of human ear for speech enhancement is proposed.
利用人耳的语音感知特性中的掩蔽效应，提出一种基于听觉掩蔽效应的语音增强方法。
A modified MMSE algorithm for speech enhancement based on speech periodic property is presented.
基于语音周期性的特点，提出了一种预加重的MMSE语音增强的改进算法。
In this paper, a system of speech enhancement using DSP is discussed based on self-adaptive algorithm.
本文介绍了一种利用DSP构建的基于自适应滤波算法的语音信号增强处理系统。
Therefore, speech enhancement algorithm research on mobile communication systems is great significance.
因此，语音增强算法的研究对移动通信系统具有重要的意义。
The speech enhancement system of this thesis will adopt the noise estimator based on minimum statistics.
最终以最小值跟踪算法作为设计的语音增强系统的噪声估计部分。
In this paper, a speech enhancement approach using minimum estimate and spectral subtraction is proposed.
提出了一个基于最小统计及谱减法的语音增强方法。
The method of auditory model inversion given in this paper could be used widely in speech enhancement field.
论文提出的听觉模型逆变换方法可应用于语音增强等领域。
At last, we propose a new speech recognition method which combines RAS-MFCCs and MMSE speech enhancement technology.
本文提出了将RAS-MFCC特征和最小均方误差估计（MMSE）语音增强方法相结合的抗噪声语音识别方法。
This algorithm combines the fixed beamforming speech enhancement algorithm and adaptive speech enhancement algorithm.
该算法是将固定波束语音增强算法与自适应语音增强算法相结合。
Based on the existing microphone array speech enhancement algorithms, an improved algorithm is studied in the thesis.
在现有麦克风阵列语音增强算法的基础上，本文研究了一种改进算法。
Most practical speech enhancement systems composed of an accuracy noise estimator and good filter to reduce the noise.
大多数实用的语音增强系统均是由精确的噪声估计器和良好的滤波器来实现对带噪语音进行去噪。
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。
Experiment results show that this new speech enhancement method presents better processing effect than traditionary methods.
实验结果表明，与传统的语音增强方法相比，听觉模拟的语音增强方法有更好的增强效果。
The current research directions of microphone arrays are speech localization and speech enhancement. The related algorithms are various.
目前，麦克风阵列的研究方向主要集中在语音定位和语音增强，各种处理算法层出不穷。
Experimental data obtained in the speech quality characterization of different speech enhancement algorithms are reported and discussed.
本文中讨论了不同语音增强算法下获得的实验数据。
Presently, the speech enhancement technology has applied in many fields such as speech processing, communication, and multimedia technology.
目前，语音增强已在语音处理系统、通信和多媒体技术等领域得到了越来越广泛的应用。
Speech enhancement experimental results show that this proposed method effectively improves the speech quality and reduces the musical noise.
语音增强实验结果表明，该改进谱减算法能有效地提高增强效果，更好地抑制音乐噪声，提高语音质量。
This paper mainly discusses the speech enhancement algorithm based on the Minimum Mean Square Error (MMSE) estimation of speech short time spectrum.
本文主要讨论基于语音短时谱估计的语音增强算法。
In this paper, we have studied several speech enhancement systems that use spectrum subtraction method and Allen's reverberate noise suppression technique.
本文对采用减谱法和相关法的语音增强系统进行了研究，系统的噪声为白噪声和普通机房噪声。
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。
This paper proposes a new speech enhancement scheme based on modified Minimum Mean Square Error (MMSE) estimation of speech Short Time Spectrum Amplitude (STSA).
本文提出了一种改进型语音短时谱最小均方误差(MMSE)估计的增强方法。
This paper proposes a new speech enhancement scheme based on modified Minimum Mean Square Error (MMSE) estimation of speech Short Time Spectrum Amplitude (STSA).
本文提出了一种改进型语音短时谱最小均方误差(MMSE)估计的增强方法。
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