Wed 9th March 13:00 – 14:00
This seminar will be streamed via Teams – click here to join.
The effects of room modes on audio reproduction are well reported and researched, however a considerable amount of work typically focuses on smaller acoustic environments, such as listening rooms and control rooms. Larger listening spaces, such as live sound venues, are seldom analysed when discussing modal effects on sound reproduction. Furthermore, live sound spaces differ in application to small listening rooms, where individual instruments are often corrected during a sound check to account for low frequency room modes.This work investigates the case of isolated kick drums as an excitation signal, in rooms much larger than typically explored in room acoustic research. Furthermore, machine learning is used to form interpretative models of low frequency perceptual attributes that describe the effect of low frequency room acoustics on perceived sound reproduction. The perceptual models are then used to gain a greater understanding on the perception of low frequency room acoustics.
Michael Howard is a Software Engineer at NUGEN Audio, where he works in developing audio plugins for Music and Post Production. Previously, he recently graduated from the University of Salford with an MSc by Research in Audio Acoustics, where he worked on a Knowledge Transfer Partnership between Music Tribe UK and The University of Salford.His areas of research are primarily focused on Room Acoustics, Psychoacoustics, Signal Processing and Machine Learning.