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An End-to-End Neural Network for Polyphonic Music Transcription
We present a neural network model for polyphonic music transcription. The architecture of the proposed model is analogous to speech recognition systems and comprises an acoustic model and a music language mode}. The acoustic ...
An evaluation framework for event detection using a morphological model of acoustic scenes
This paper introduces a model of environmental acoustic scenes which adopts a morphological approach by ab-stracting temporal structures of acoustic scenes. To demonstrate its potential, this model is employed to evaluate ...
Big Data for Musicology