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- W2006553206 abstract "We propose a novel phase-based method for single-channel speech enhancement to extract and enhance the desired signals in noisy environments by utilizing the phase information. In the method, a phase-dependent a priori signal-to-noise ratio (SNR) is estimated in the log-mel spectral domain to utilize both the magnitude and phase information of input speech signals. The phase-dependent estimator is incorporated into the conventional magnitude-based decision-directed approach that recursively computes the a priori SNR from noisy speech. Additionally, we reduce the performance degradation owing to the one-frame delay of the estimated phase-dependent a priori SNR by using a minimum mean square error (MMSE)-based and maximum a posteriori (MAP)-based estimator. In our speech enhancement experiments, the proposed phase-dependent a priori SNR estimator is shown to improve the output SNR by 2.6 dB for both the MMSE-based and MAP-based estimator cases as compared to a conventional magnitude-based estimator." @default.
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- W2006553206 date "2014-10-01" @default.
- W2006553206 modified "2023-09-23" @default.
- W2006553206 title "Speech Enhancement Using Phase-Dependent A Priori SNR Estimator in Log-Mel Spectral Domain" @default.
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- W2006553206 doi "https://doi.org/10.4218/etrij.14.2214.0039" @default.
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