64 citations · 109 across the 7 of their papers we have counts for
3 papers · 1 filter
Learning Complex Basis Functions for Invariant Representations of Audio
Stefan Lattner, Monika Dörfler, Andreas Arzt
Learning features from data has shown to be more successful than using hand-crafted features for many machine learning tasks. In music information retrieval (MIR), features learned…
Audio-to-Score Alignment using Transposition-invariant Features
Andreas Arzt, Stefan Lattner
Audio-to-score alignment is an important pre-processing step for in-depth analysis of classical music. In this paper, we apply novel transposition-invariant audio features to this…
The ACCompanion v0.1: An Expressive Accompaniment System
Carlos Cancino-Chacón, Martin Bonev, Amaury Durand +5
In this paper we present a preliminary version of the ACCompanion, an expressive accompaniment system for MIDI input. The system uses a probabilistic monophonic score follower to t…