形态学滤波器是一种新的非线性语音增强算法。
Morphological filter is a kind of new nonlinear speech enhancement algorithm.
提出了一种基于听觉掩蔽效应的语音增强算法。
A speech enhancement algorithm based on auditory masking effect is presented.
本文主要讨论基于语音短时谱估计的语音增强算法。
This paper mainly discusses the speech enhancement algorithm based on the Minimum Mean Square Error (MMSE) estimation of speech short time spectrum.
在此基础上，设计实现了一个单声道语音增强算法。
The method is then used to develop a single channel speech enhancement algorithm. Objective measurements combine…
采用了一种基于人耳听觉掩蔽效应的语音增强算法。
An approach to speech enhancement based on auditory masking properties is presented.
本文中讨论了不同语音增强算法下获得的实验数据。
Experimental data obtained in the speech quality characterization of different speech enhancement algorithms are reported and discussed.
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。
Therefore, speech enhancement algorithm research on mobile communication systems is great significance.
在此基础上，研究改进了一种自适应的波束形成语音增强算法。
This algorithm utilizes beamforming algorithm with GSC structure, subband structure and partially adaptive technique, to improves noise canceling performance.
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。
This algorithm combines the fixed beamforming speech enhancement algorithm and adaptive speech enhancement algorithm.
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。
Based on the existing microphone array speech enhancement algorithms, an improved algorithm is studied in the thesis.
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。
A kind of single input channel speech enhancement algorithm based on signal subspace is studied for enhancement of speech degraded by colored additive noise.
讨论强背景噪声下的基于模糊系统的语音增强方法，并与减谱法语音增强算法进行比较。
In this paper the speech enhancement method based on fuzzy system is discussed in strong background noise, and a comparison is made between this method and the spectral subtraction algorithm.
语音增强算法的前期需要对噪声进行估计，然后将其应用到合适的去噪算法中，去噪算法是整个算法的核心部分。
Speech enhancement algorithm's early work is to estimate the noise, then the noise is applied in suitable denoising algorithm, the denoising algorithm is the key of the whole.
针对某大型车辆专用车内通话系统设计中的语音增强问题，对一种基于自适应滤波的语音增强算法进行了较为深入的研究。
An algorithm based on adaptive filter is introduced to improve SNR in the design of a special communication system of large vehicle.
将TVAR模型的信号和反射系数矢量增广为状态矢量后，应用高斯粒子滤波器(GPF)估计TVAR的模型参数，构造了语音增强算法。
When TVAR model signal and reflection coefficients were extended to state vector, Gaussian Particle Filter (GPF) was applied to estimate parameters of TVAR model.
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。
In this paper, a system of speech enhancement using DSP is discussed based on self-adaptive algorithm.
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。
The speech enhancement system of this thesis will adopt the noise estimator based on minimum statistics.
将人耳的掩蔽效应引入增强算法中，从而提高语音的清晰度和舒适度。
This paper also takes the masking effect to the enhancement algorithm, improving voice's clarity and comfort.
实验表明，该算法对于单通道输入有色噪声干扰下的带噪语音信号有较好的增强效果。
The simulation results show that the algorithm has better performance for single input channel in environment of colored noise.
本文主要对语音编码中矢量量化码字搜索算法、语音增强、语音激活检测技术进行研究并进行了改进。
This paper mainly focuses on the research and improvement of the fast code word search algorithm, speech enhancement and voice activity detector key technologies.
仿真结果表明：该方法有效地改善了算法的噪声消除性能，且更适用于实时的语音增强系统。
Simulations show that the techniques effectively improves the noise reduction performance of the algorithm and is more suitable for real-time speech enhancement systems.
新算法通过提取混合语音输入中的有效语音时频成分并利用人耳的听觉掩蔽效应重构合成增强语音输出信号。
The useful speech time frequency components can be picked up successfully by the proposed algorithm, and they are used to reconstruct the enhanced outputs.
以补偿增强后信号的能量损失和频谱失真为目的，浅谈了几种语音补偿可实现的算法及设想。
And to compensate the enhanced signal's energy loss and spectrum distortion, several reasonable schemes of Speech compensation are touched upon in the paper.
本文详细论述了噪音消除等语音增强技术，探讨了声音特性分析及消除噪音的频谱相减算法，并且将频谱减法应用到虚拟教室模型中。
How to eliminate noise and the audio enhancement technologies are also proposed, especially the analyzing of the character of audio and frequency subtraction for eliminating noise.
文章提出了语音谱参数的增强双预测多级矢量量化算法(EDPMSVQ)的码本设计方法。
This paper presents a codebook design method of an enhanced dual predictive multi-stage vector quantization (EDPMSVQ) scheme for LPC parameters.
并利用所构建的语音质量客观评价平台，对语音增强低速语音编码算法的抗背景噪声性能进行了客观评估与分析。
In the meantime, we evaluate and analyze objectively the robustness of the low bit rate speech coding algorithms with our own objective evaluating system of the speech quality.
实验表明，算法对于有色噪声干扰下的语音信号有较好的增强效果，并且性能优于改进减谱法。
Simulation results show that this algorithm demonstrates better performance than modified spectrum subtraction algorithm both in thee nvironment of white or colored 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。
Speech enhancement experimental results show that this proposed method effectively improves the speech quality and reduces the musical noise.
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。
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。
A modified MMSE algorithm for speech enhancement based on speech periodic property is presented.
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