TY - JOUR
AU1 - Avramescu, Dan Teodor
AU2 - University of Craiova
AU3 - Popescu, Paul Stefan
AU4 - Mocanu, Mihai
AU5 - Mihaescu, Marian Cristian
AU6 - University of Craiova
AU7 - University of Craiova
AU8 - University of Craiova
AU9 - 
AB - International Journal of User-System Interaction 14(3) 2021, 87-100 © MatrixRom Dan Teodor Avramescu, Paul Stefan Popescu, Mihai Mocanu and Marian Cristian Mihaescu University of Craiova Department of Computers and Information Technology avramescu.dan.m8s@student.ucv.ro, {stefan.popescu,mihai.mocanu,cristian.mihaescu}@edu.ucv.ro Abstract. Automatic music transcription represents a specific translation task that falls into information processing, where input information is sound. Similar, but more general, are building text transcripts from speech. We propose a data analysis pipeline that follows the roadmap of previous works but uses a distinct dataset and several custom hyperparameter settings. The results are not as good as previous ones as the implementation runs on commodity systems, and therefore refinements and more powerful techniques may further improve the results. Still, state-of-the-art DL libraries raise the potential for improvements in a susceptible application domain. Keywords: automatic music transcription; deep learning. DOI: 10.37789/ijusi.2021.14.3.1 1. Introduction Deep learning (further referred to as DL) algorithms have been integrated into many application domains and proved their effectiveness. This paper tackles the problem of building the transcription of polyphonic music given as input a music file in MIDI format (Rothstein 1992). Thus, automatic transcription represents an ancient task that could nowadays benefit from the high potential currently developed DL algorithms. Professional 
TI - Automatic Music Transcription by Deep Learning
JF - International Joural of User-System Interaction
DO - 10.37789/ijusi.2021.14.3.1
DA - 2021-01-01
UR - https://www.deepdyve.com/lp/unpaywall/automatic-music-transcription-by-deep-learning-ATCyku0C6d
DP - DeepDyve
ER -