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Single-Channel Blind Separation Using Pseudo-Stereo Mixture and Complex 2-D Histogram
A novel single-channel blind source separation (SCBSS) algorithm is presented. The proposed algorithm yields at least three benefits of the SCBSS solution: 1) resemblance of a stereo signal conceptExpand
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Online Noisy Single-Channel Source Separation Using Adaptive Spectrum Amplitude Estimator and Masking
A novel single-channel source separation method is presented to recover the original signals given only a single observed mixture in noisy environment. The proposed separation method is an onlineExpand
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Extension of DUET to single-channel mixing model and separability analysis
In this paper, the DUET binaural model is extended to the single-channel mixing model where only one microphone is available for recording. A novel ''artificial stereo'' mixing model is proposed toExpand
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Blind 2D signal direction for limited-sensor space using maximum likelihood estimation
Humans can automatically turn toward the origin of the sound that they hear through their both ears. This capability is crucial in daily life. A computer that can recognize the direction of the soundExpand
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Blind 3D sound source direction using stereo microphones based on time-delay estimation and polar-pattern histogram
In this research, a new 3 dimension sound source direction algorithm was developed for computing the azimuth and elevation direction of the source under a limited space between two microphones inExpand
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Single-Channel Signal Separation Using Spectral Basis Correlation with Sparse Nonnegative Tensor Factorization
A novel approach for solving the single-channel signal separation is presented the proposed sparse nonnegative tensor factorization under the framework of maximum a posteriori probability andExpand
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Sound events separation and recognition using LiSparse complex nonnegative matrix factorization and multi-class mean supervector support vector machine
This paper proposes a novel single channel sound separation and events recognition method. First, the sound separation step is based on a complex nonnegative matrix factorization (CMF) withExpand
Efficient Noisy Sound-Event Mixture Classification Using Adaptive-Sparse Complex-Valued Matrix Factorization and OvsO SVM
This paper proposes a solution for events classification from a sole noisy mixture that consist of two major steps: a sound-event separation and a sound-event classification. The traditional complexExpand