Downloads provided by UsageCounts
handle: 10230/41699
We present a study on the behavior of human finger-tapping and the spontaneous expression of rhythm. For the purposes of this study we construe interpret finger-tapping as the casual and rhythmic hitting of objects for the expression of music. Our motivation for this study is to connect spontaneous finger-tapping, human-computer interaction and the automatic arrangement of percussion for music creation. Specifically, here we report on the characterization of spontaneous rhythm creation behavior as a prerequisite to develop rhythm-aware music creation interfaces. First, we collect a dataset by recording spontaneous finger-tapping patterns performed by subjects from different music backgrounds. An online survey gathering information about the recording is then submitted to the volunteers. Analysis of the survey answers and low-level audio features suggest that there are two ways for finger-tapping depending on the music skills of the performer (i.e., "experts" versus "naive tappers"). We explore the former hypothesis by conducting a classification task between onsets from both finger-tapping methods. We achieve a 96% of accuracy in recognizing drumming expertise levels (expert vs. naive) by means of using onset-related acoustic features. Results suggest that people with percussion training are more concerned about timbre aspects and, thus, can take advantage of this quality of sound to provide nuances to each stroke when finger-tapping, as opposed to non-expertise individuals.
Comunicació presentada a: 2nd Conference on Computer Simulation of Musical Creativity celebrat de l'11 al 13 de setembre de 2017 a Milton Keynes, Regne Unit.
This research has been partially supported by the EU funded GiantSteps project (FP7-ICT-2013-10 Grant agreement nr 610591).
Finger-tapping, Music creation, Human-computer interaction
Finger-tapping, Music creation, Human-computer interaction
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 | |
| downloads | 2 |

Views provided by UsageCounts
Downloads provided by UsageCounts