Search Results for author:
Found 3 papers, 0 papers with code
A Critical Look at the Applicability of Markov Logic Networks for Music Signal Analysis
In this paper, we analyse some proposed examples of MLNs for musical analysis and consider their practical disadvantages when compared to formulating the same musical dependence relationships as (dynamic) Bayesian networks.
An Augmented Lagrangian Method for Piano Transcription using Equal Loudness Thresholding and LSTM-based Decoding
A central goal in automatic music transcription is to detect individual note events in music recordings.
Structured Dropout for Weak Label and Multi-Instance Learning and Its Application to Score-Informed Source Separation
Many success stories involving deep neural networks are instances of supervised learning, where available labels power gradient-based learning methods.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
