AN EFFICIENT SHORT-TIME DISCRETE COSINE TRANSFORM AND ATTENTIVE MULTIRESUNET FRAMEWORK FOR MUSIC SOURCE SEPARATION

An Efficient Short-Time Discrete Cosine Transform and Attentive MultiResUNet Framework for Music Source Separation

The music source separation problem, where the task at hand is to estimate the audio components that are present in a mixture, has been at the centre of research activity FACE for a long time.In more recent frameworks, the problem is tackled by creating deep learning models, which attempt to extract information from each component by using Short-Ti

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How global change impacted the rise and fall of the Guge Kingdom

Climate changes and its influences on human society are of increasing concern in science communities.Based on the reconstructed climate data and CENTURY model, we simulated net primary productivity of grassland and the grain yield of highland barley during the pre-industrial millennium in Ali Prefecture, Tibet Autonomous Region.It showed that the v

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Remarks to the risk assessment for abandoned mine sites

The authors give some remarks to the term risk regarding its use for the assessment of abandoned mine sites.These remarks are based on the recommendation Geotechnical Investigation and Evaluation of Abandoned Mine Sites developed by the working committee Abandoned Mining of the German Society for Geotechnical Engineering (DGGT) and the German Socie

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