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三种语音增强算法的源程序,可以播放处理前后的语音,谱相减法,滤波器法及最小均方误差法-Three speech enhancement algorithm of the source can be played before and after voice spectral subtraction filter method and the minimum mean square error method
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学习语音增强一篇很好的博士论文,希望对大家有帮助-Learning a good speech enhancement dissertation, we hope to help
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这是一篇SCI论文,有关语音增强。综述性较强。-This is an SCI papers, relevant speech enhancement. Summary stronger.
Statistical-Model-Based Speech Enhancement Systems
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文利用带噪语音经特征基函数矩阵转换后所具有的稀疏特性,用最大似然估计方法对转换后得到的稀疏
分量进行非线性压缩去噪,然后再经过反变换和重构恢复出原始语音信号的估计。特征基函数矩阵反映了语音数据本
身的统计特性,因此具有很好的合理性和可取性。仿真结果表明利用稀疏编码方法能极大程度地抑制背景噪卢,与小波消噪法相比优势明显。-a speech enhancement algorithm based Compressed Sensing.
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基于子空间的语音增强算法的matlab程序,请站长开通-Speech enhancement based on subspace
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基于字典的语音增强中稀疏编码计算稀疏矩阵的一种改进算法,称作larc-Dictionary-based computing sparse coding speech enhancement sparse matrix, an improved algorithm, called larc
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Normally speech signals are contaminated with noise and interference that reduces the intelligibility of speech during communication. In order to make speech
signals eective and useful, they need to be enhanced from the noisy speech signal.
In s
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SPEECH ENHANCEMENT ALGORITHMS A BRIEF REVIEW
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这是一篇期刊。里面详细介绍了一种将多频带谱减和听觉掩蔽系统结合的语音增强算法,增强效果比较好,可供大家参考学习。-This is a journal. Which details a multi-band spectral subtraction and auditory masking system combines speech enhancement algorithms to enhance better, for your reference study.
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语音增强的目标是提高这些受损的语音质量以及可读懂度,语音增强算法能在某种程度上减轻或者抑制背景噪声-Speech enhancement aims to improve the quality of these damaged and can understand the degree of voice , speech enhancement algorithms can reduce or suppress the background noise in a way
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语音增强算法,性噪比,原信号与增强后信号对比-Speech enhancement algorithm, sex ratio, the original signals and enhanced contrast
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Speech Enhancement and Its Noise Reduction Ability Research
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文章介绍了几种语音处理方面常见的问题!语音增强算法,以及短时谱估计 检测语音!-Article describes several aspects of speech processing common problem! Speech enhancement algorithms, as well as short-time spectral estimation detect voice!
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本文章主要是研究在压缩传感语音增强稀疏问题。一些算法以及对比。-On sparsity issues in compressive sensing based speech enhancement
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Recent Advancements in Speech Enhancement
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语音增强算法,基于人耳听觉掩蔽的维纳滤波-Subspace speech enhancement algorithm based on human auditory masking Wiener filter
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The speech signal for the particular isolated word can be viewed as the one generated using the sequential generating probabilistic model known as hidden Markov
model (HMM). Consider there are n states in the HMM. The particular isolated
speech sig
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维纳滤波器实现语音信号降噪,语音增强。压缩包中已经包含测试语音片段(wiener filter for speech enhancement, speech denoising)
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using GAN to improve the quality of speech enhancement
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几种传统的语音增强方法,适合初学者,了解语音增强的处理。(Several traditional speech enhancement methods are suitable for beginners to understand the processing of speech enhancement.)
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