27 citations · 46 across the 9 of their papers we have counts for
9 papers
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…
Tempo vs. Pitch: understanding self-supervised tempo estimation
Giovana Morais, Matthew E. P. Davies, Marcelo Queiroz +1
Self-supervision methods learn representations by solving pretext tasks that do not require human-generated labels, alleviating the need for time-consuming annotations. These metho…
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…
Shift If You Can: Counting and Visualising Correction Operations for Beat Tracking Evaluation
A. Sá Pinto, I. Domingues, M. E. P. Davies
In this late-breaking abstract we propose a modified approach for beat tracking evaluation which poses the problem in terms of the effort required to transform a sequence of beat d…
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…
An audio-only method for advertisement detection in broadcast television content
António Ramires, Diogo Cocharro, Matthew E. P. Davies
We address the task of advertisement detection in broadcast television content. While typically approached from a video-only or audio-visual perspective, we present an audio-only m…
User Specific Adaptation in Automatic Transcription of Vocalised Percussion
António Ramires, Rui Penha, Matthew E. P. Davies
The goal of this work is to develop an application that enables music producers to use their voice to create drum patterns when composing in Digital Audio Workstations (DAWs). An e…