In order to train and test algorithms that can automatically detect drum events in polyphonic music, ground truth data is needed. This paper describes a setup used for gathering manual annotations for 49 real-world music fragments containing different drum event types. Apart from the drum events, the beat was also annotated. The annotators were experienced drummers or percussionists. This paper...

This paper presents a method for voice percussion recognition and its application to drum pattern retrieval. Recognition of voice percussion (verbalized expression of drum sound by voice) requires an approach that is different from existing methods. Individual differences in both vocal characteristics and the kinds of verbal expressions used add further complication to the task. The approach ta...

While its classical model is relatively simple, friction actually depends on both the interface properties of interacting surfaces and on the dynamics of the system containing them. At a microscopic level, the true contact area changes as the surfaces move relative to each other. Thus at a macroscopic level, total friction and normal forces are time-dependent phenomena. This paper introduces a ...

In this paper we present a multimodal system for analyzing drum performance. In the first example we perform automatic drum hand recognition utilizing a technique for automatic labeling of training data using direct sensors, and only indirect sensors (e.g. a microphone) for testing. Left/Right drum hand recognition is achieved with an average accuracy of 84.95% for two performers. Secondly we p...

We present a system that is based on the non-negative matrix factorisation (NMF) algorithm and is able to transcribe drum onset events in polyphonic music. The magnitude spectrogram representation of the input music is divided by the NMF algorithm into source spectra and corresponding time-varying gains. Each of these source components is classified as a drum instrument or non-drum sound and a ...

This paper presents a method for locating the position of a strike on an acoustic drumhead. Near-field optical sensors were installed underneath the drumhead of a commercially available snare drum. By implementing a time difference of arrival (TDOA) algorithm, accuracy within 2cm was achieved in approximating the location of strikes. This method could be used for drum performance analysis, timb...

Adult emmetropes and myopes were tested with the Catford drum and the results compared with subjective (Landolt C) acuity. For he emmetropes the Catford drum was found to overestimate visual acuity by a factor of approximately 4. For myopes, and emmetropes viewing through plus lenses, the discrepancies were much larger. Since the Catford drum not only overestimates acuity but will do so by a fa...

In this study, Silk Fibroin (SF)/Polycaprolactone (PCL) composite nanofiber mats were fabricated using an electrostatic spinning technology employing different drum rotation speeds. The morphology and tensile performance of the resulting nanofiber mats were characterized using thermal field emission scanning electron microscopy, multi-layer image fusion technology, pore size distribution analys...

This study explores the evolution of molluscivory in the marine teleost family Sciaenidae by comparing the motor activity patterns of the pharyngeal muscles of two closely related taxa, the molluscivorous black drum (Pogonias cromis) and the generalist red drum (Sciaenops ocellatus). Muscle activity patterns were recorded simultaneously from eight pharyngeal muscles. Electromyographic (EMG) act...

Automatic drum transcription (ADT) systems attempt to generate a symbolic music notation for percussive instruments in audio recordings. Neural networks have already been shown to perform well in fields related to ADT such as source separation and onset detection due to their utilisation of time-series data in classification. We propose the use of neural networks for ADT in order to exploit the...