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In ICASSP 2023 speech signal improvement challenge, we developed a dual-stageneural model which improves speech signal quality induced by differentdistortions in a stage-wise divide-and-conquer fashion. Specifically, in thefirst stage, the speech improvement network focuses on recovering the missingcomponents of the spectrum, while in the second stage, our model aims tofurther suppress noise, reverberation, and artifacts introduced by thefirst-stage model. Achieving 0.446 in the final score and 0.517 in the P.835score, our system ranks 4th in the non-real-time track.

Two-stage Neural Network for ICASSP 2023 Speech Signal Improvement Challenge