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An End-to-End Neural Network for Polyphonic Piano Music Transcription
We present a supervised neural network model for polyphonic piano music transcription. The architecture of the proposed model is analogous to speech recognition systems and comprises an acoustic model and a music language ...
Identifying Cover Songs Using Information-Theoretic Measures of Similarity
This paper investigates methods for quantifying similarity between audio signals, specifically for the task of cover song detection. We consider an information-theoretic approach, where we compute pairwise measures of ...
A Demonstration of Hierarchical Structure Usage in Expressive Timing Analysis by Model Selection Tests
© 2018 Technical Committee on Control Theory, Chinese Association of Automation. Analysing expressive timing in performed music can help machine to perform various perceptual tasks such as identifying performers and ...