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Spain-NET: SPATIALLY-INFORMED STEREOPHONIC MUSIC SOURCE SEPARATION
Darius Petermann
,
Minje Kim
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Dive into the research topics of 'Spain-NET: SPATIALLY-INFORMED STEREOPHONIC MUSIC SOURCE SEPARATION'. Together they form a unique fingerprint.
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Keyphrases
Spatial Data
100%
Spain
100%
Music Source Separation
100%
User Interaction
66%
Separation Process
33%
Recent Advancements
33%
Control Method
33%
Input Signals
33%
Disentanglement
33%
Simulation Experiment
33%
Separation Performance
33%
Sources of Interest
33%
Interaction-based
33%
Data-driven Approach
33%
Active Use
33%
Agnostic
33%
Feature Representation
33%
Deep Neural Network
33%
Deep Learning Model
33%
Guitar
33%
Supervised Problems
33%
Network music
33%
Multi-channel Input
33%
Conditioning Mechanism
33%
Computer Science
Spatial Information
100%
Source Separation
100%
User Interaction
66%
Driven Approach
33%
Control Method
33%
Entry Point
33%
Deep Neural Network
33%
Deep Learning Model
33%
Separation Performance
33%
Engineering
Spatial Information
100%
Source Separation
100%
Multichannel
33%
Input Signal
33%
Channel Input
33%
Separation Performance
33%
Deep Neural Network
33%
Deep Learning Method
33%
Neuroscience
Neural Network
100%