27 citations · 36 across the 5 of their papers we have counts for
5 papers · 1 filter
Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music
Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies +2
To model the periodicity of beats, state-of-the-art beat tracking systems use "post-processing trackers" (PPTs) that rely on several empirically determined global assumptions for t…
An Analysis Method for Metric-Level Switching in Beat Tracking
Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies +2
For expressive music, the tempo may change over time, posing challenges to tracking the beats by an automatic model. The model may first tap to the correct tempo, but then may fail…
Symbolic music generation conditioned on continuous-valued emotions
Serkan Sulun, Matthew E. P. Davies, Paula Viana
In this paper we present a new approach for the generation of multi-instrument symbolic music driven by musical emotion. The principal novelty of our approach centres on conditioni…
On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks
Serkan Sulun, Matthew E. P. Davies
In this paper, we address a sub-topic of the broad domain of audio enhancement, namely musical audio bandwidth extension. We formulate the bandwidth extension problem using deep ne…
TIV.lib: an open-source library for the tonal description of musical audio
António Ramires, Gilberto Bernardes, Matthew E. P. Davies +1
In this paper, we present TIV.lib, an open-source library for the content-based tonal description of musical audio signals. Its main novelty relies on the perceptually-inspired Ton…