4 citations · 9 across the 11 of their papers we have counts for
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cs.SD2018
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…
cs.SD2018
A Predictive Model for Music Based on Learned Interval Representations
Stefan Lattner, Maarten Grachten, Gerhard Widmer
Connectionist sequence models (e.g., RNNs) applied to musical sequences suffer from two known problems: First, they have strictly "absolute pitch perception". Therefore, they fail…
cs.SD2018
Learning Transposition-Invariant Interval Features from Symbolic Music and Audio
Stefan Lattner, Maarten Grachten, Gerhard Widmer
Many music theoretical constructs (such as scale types, modes, cadences, and chord types) are defined in terms of pitch intervals---relative distances between pitches. Therefore, w…