Deep Learning for Sound Recognition
Dr. Michael Frishkopf, Professor of Music and the Director of the Canadian Centre for Ethnomusicology (CCE), asks how do we recognize the components and attributes of sound, describe and parse an audio recording of music, speech, or environmental sounds, or extract sonic features, classify types, segment units, and identify sources of sounds? Sometimes recordings capture a single sound source: a single instrument, speaker, or bird; others may find multiple but coordinated sources: a musical ensemble, or a conversation; yet typically in fieldwork, a recording encompasses a complex mix of uncoordinated sound sources, a total soundscape that may include music as well as speech, music from multiple groups performing simultaneously, many speakers speaking at once, or many bird calls, all of which are layered together with “noise” such as the sounds of crowds, highways and factories, rain, wind and thunder.
Pedi Dinaka Dance
On 22 May ILAM hosted Paul Chamberlain who provided a talk entitled, A report on the Dinaka dance of the Ba Pedi people in Polokwane. Paul Chamberlain conducted his research with the support of the Fulbright Programme. Paul Chambers is a musician and educator from Kingston, New York, who attended the State University of New York at Fredonia where he received a Master of Music degree in percussion performance in 2015 and a Bachelor of Music Education degree in 2013.