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This paper deals with the problem of speech enhancement when a
corrupted speech signal with an additive colored noise is the only
information available for processing. Kalman filtering is known as
an effective speech enhancement technique, in w
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This paper deals with the problem of speech enhancement when
only a corrupted speech signal is available for processing. Kalman
filtering is known as an effective speech enhancement technique,
in which speech signal is usually modeled as autore
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musical noise free speech enhancement
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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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Gammatone 与Wiener 滤波联合语音增强研究-Gammatone and Wiener filtering speech enhancement joint research
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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 e ective and useful, they need to be enhanced from the noisy speech signal.
In s
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this thesis proposes two methods for NMF-based separation of sources with similar dictionaries.
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A Cepstrum Approach to Real-Time Speech Enhancement
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TWO-CHANNEL SPEECH ENHANCEMENT
AND IMPLEMENTATION CONSIDERATIONS.
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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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speech enhancement for noisy signal
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