Abstract
We firstly review the monaural speech separation method based on objective quality assessment of speech (OQAS) and computational auditory scene analysis (CASA). Considering of the defects of application limitations and time consuming of the employed ITU-T P.563 algorithm, we then propose an alternative method which combines CASA with the temporal envelope representations based OQAS algorithm. The proposed method greatly reduces the operation time and resource requirement, yet almost does not decrease the performance of separation.
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