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DLSSNBA
- 一种新的基于麦克风阵列的近场声源定位和语音分离算法，它结合双波束二维定位和近场最小方差波束形成技术在阵列近场范围内实现声源定位和语音分离。-based on a microphone array of near-field acoustic source localization and speech separation algorithm, It combines two-beam two-dimensional positioning and near-field minimum vari
fastica-negative-entropy
- 基于负熵的实现盲信号分离问题，该程序实现了两个语音信号的混合和分离。-The negative entropy realize blind signal separation problem based on the realization of the program, the mixing and separating the two speech signals.
Two-microphone-Separation-of-Speech
- TWO MICROPHONES SEPARATION TECHNIQUES
YilmazRickard2004
- BLIND SOURCE SEPARATION IN THE TIME FREQUENCY DOMAIN TECHBIQUES FOR SPEECH
Algebraic-ICA
- 介绍了一种代数过完备ICA算法，采用这种方法对混合语言信号进行分解。-Algebraic independent component analysis an approach for separation of overcomplete speech mixtures
speech-seperation
- Formulating speech separation as a binary classification problem has been shown to be effective. While good separation performance is achieved in matched test conditions using kernel support vector machines
Speech-Enhancement-Using-HMM
- this thesis proposes two methods for NMF-based separation of sources with similar dictionaries.
FASTICA
- fastICA经典行程序，用于语音分离、识别-FastICA classic line program for speech separation and recognition
A-New-Word-Separation-Algorithm-for-Continuous.ra
- A New Word Separation Algorithm for Continuous Bangia Speech Recognition
Structured-Sparsity-Models
- 用于混响背景语音分离的结构稀疏模型(Strutured sparisty model)方法-To further tackle the ambiguity of the reflection ratios, we propose a novel formulation of the reverberation model and estimate the absorption coefficients through a convex optimization exploiting