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Rodrigo Schramm

2 accepted papers

2021

Improving the Classification of Rare Chords With Unlabeled Data

ICASSP 2021accepted

In this work, we explore techniques to improve performance for rare classes in the task of Automatic Chord Recognition (ACR). We first explored the use of the focal loss in the context of ACR, which was originally proposed to improve the classification of hard samples. In parallel, we adapted a self…

Cited by 0SourceScholar
2019

Automatic Transcription of Diatonic Harmonica Recordings

ICASSP 2019accepted

This paper presents a method for automatic transcription of the diatonic Harmonica instrument. It estimates the multi-pitch activations through a spectrogram factorisation framework. This framework is based on Probabilistic Latent Component Analysis (PLCA) and uses a fixed 4-dimensional dictionary w…

Cited by 0SourceScholar