46 citations · 47 across the 5 of their papers we have counts for
3 papers · 1 filter
Deep Polyphonic ADSR Piano Note Transcription
Rainer Kelz, Sebastian Böck, Gerhard Widmer
We investigate a late-fusion approach to piano transcription, combined with a strong temporal prior in the form of a handcrafted Hidden Markov Model (HMM). The network architecture…
Multitask Learning for Polyphonic Piano Transcription, a Case Study
Rainer Kelz, Sebastian Böck, Gerhard Widmer
Viewing polyphonic piano transcription as a multitask learning problem, where we need to simultaneously predict onsets, intermediate frames and offsets of notes, we investigate the…
madmom: a new Python Audio and Music Signal Processing Library
Sebastian Böck, Filip Korzeniowski, Jan Schlüter +2
In this paper, we present madmom, an open-source audio processing and music information retrieval (MIR) library written in Python. madmom features a concise, NumPy-compatible, obje…