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In this work, we address a new single-channel speech enhancement method utilizing phase information. In the conventional speech processing approaches, only the magnitude components were used whereas the phase components were mostly neglected. However, the phase components are known to have some information on speech signals. Hence, we propose a phase-dependent a priori signal-to-noise ratio (SNR)...
This paper addresses the problem of single-channel speech separation for robust speech recognition in noisy environments. We propose to apply shape analysis techniques to a speech separation system based on computational auditory scene analysis (CASA). The system extracts the desired speech signals from a mixture of various sound sources with an additional module to complement missing speech signals...
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