Abstract: Computational Auditory Scene Analysis (CASA) is challenging problem for which many different approaches have been proposed. These approaches can be based on statistical and signal processing methods such as Independent Component Analysis or can be based on our current knowledge about human auditory perception. Learning happens at the boundary interactions between prior knowledge and incoming data. Separating complex mixtures of sound sources such as music requires a complex interplay between prior knowledge and analysis of incoming data. Many a...
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Topics: 
Artificial intelligence
Speech recognition
Machine learning