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This paper proposes a two-stage algorithm to separate two sound sources by using matched beamforming and time-frequency masking techniques. At first, beamforming was used to separate the sound mixtures back to the original sources while preserving the original contents to the maximum extent. The residual interference was then suppressed by the time-frequency masking technique. A sequential least squares...
Monaural musical sound separation has been extensively studied recently. An important problem in separation of pitched musical sounds is the estimation of time-frequency regions where harmonics overlap. In this paper, we propose a sinusoidal modeling-based separation system that can effectively resolve overlapping harmonics. Our strategy is based on the observations that harmonics of the same source...
Harmonicity and continuity are two important perceptual cues for separating mixed speech sources. This paper focuses on the separation of two speech sources with a single-microphone input. An iterative, least-squares (LS) based trajectory regeneration algorithm is proposed to estimate the magnitude spectrum of each source. Time-derivatives of the spectrum, or the dynamic spectral information, is used...
A two-pass least square method have been proposed for estimating the vocal tract parameters. An often encountered problem in using the conventional linear prediction analysis is due to the harmonic structure of the excitation source of voiced speech. This harmonic characteristic is coupled with the estimation of autoregressive (AR) coefficients that results in difficulties in estimating the vocal...
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