Published in British Computer Society.
This paper examines the sensory mechanics of the Velcro hook-and-loop fastener and its use as a sound object in contemporary sound-based art and the autonomous sensory meridian response (ASMR) community.
With the neologism, BDSMR, I attempt to unpack the notion of velcro as a sound-fetish object by situating it within an emerging audio-visual culture, one that engages in cyborgian practices of sensory stimulation and optimizable arousal. Published by British Computer Journal in 2019.
Using a sequence-to-sequence LSTM neural network to infer and generate pulse using raw audio of solo jazz drumset recordings. This end to end model converts recordings into MIDI representation using a pre-trained RNN to do automatic drum transcription. This data is fed into an sequence-to-sequence LSTM network to create a real-time generative rhythm device.
By analyzing audio recordings of a particular jazz drummer, this LSTM RNN takes as input beats as inferred by a dynamic beat tracking algorithm to learn a representation of a particular drummer's performance style.
This project attempted to reconstruct an inter- active spatialization auditory scene by using a head tracking sensor in conjunction with a binaural panning system imple- mented in the MaxMSP programming environment.
This study was motivated by the need to be able to demonstrate in more informal settings–such as classroom demonstrations, or paper presentations–the general experimental environment that many researchers have used to examine the localization of point-like sound sources on the horizontal plane.
This experimental study looks at the way in which participants were able to determine the presence of an isochronous beat (rhythmic synchrony or congruence) using a coupled-oscillator model to generate competing auditory events. This mathematical model, Kuramoto oscillators, could be parameterized by varying the phase coherence and observing how well the participants were able to infer synchrony from a sequence of auditory stimuli.