From sound to hearing Nisheeth 26th February 2019
Sound localization
Localization Accuracy vs. Frequency Signature of a dual-mechanism process?
Localization Accuracy vs Localization Accuracy vs. Frequency: Low Freq – Interaural Time Difference High Freq – Interaural Intensity Difference ΔI ΔT
Sound Shadowing (Interaural Intensity Difference –IID) High-frequency sound waves are “blocked” by the human head and cast a “shadow” at the far ear (Strong IID cue) Low-frequency sound waves wrap easily around the head and cast little or no sound shadow (Weak IID Cue) ΔI
Characteristic parameter: head size Heads are 0.3 meters around Sound frequencies higher than ~3000 Hz wrap around the head
IID = f(Location, Frequency) Straight Ahead Straight Behind Right Ear (Perpendicular)
ITD versus Location ΔT Straight Ahead Straight Behind Right Ear (Perpendicular)
Delay Line Theory (How to Build a Cell tuned to delta-T Signals) Delta-T = 200 microsec
“Active” Localization (Continuous Sound Sources)
Straight Ahead vs. Straight Behind Relatively good localization performance despite same IID and ITD levels (i.e., zeros) Differential sound distortion (“coloration”) introduced by interaction with pinna Modifying shape of pinna causes immediate reduction in localization accuracy (Hoffman, et al., 1998) Listening through the ears of another yields “ahead” vs. “behind” confusion (chance performance)
Building blocks of the world of sound Auditory cognition
Auditory cognitive concepts Speech-related Phonemes, visemes and their relationship Music-related Rhythm perception and motor entrainment
Phoneme-viseme mapping Visemes are mouth configurations associated with sound Fundamental to learning to speak And also to hear (McGurk & McDonald, 1976)
Several possible clusterings
Rhythm Strongly dependent on periodicity Motor periodicity: repetition of motor actions Heartbeat Circadian rhythm Chewing Walking Auditory periodicity is beat detection Inference of a periodic pulse from a complex sound stimulus Entrainment Synchronizing motor actions to inferred beats
The musical hierarchy
Automated beat extraction Pop music has concentrated energy at the beat frequency Easy to extract algorithmically Classical music and jazz have syncopated rhythms Silent events matter significantly in beat inference Very poorly understood Homework: try picking out a jazz beat before the bass kicks in, or a Hindustani piece’s rhythm during alaaps where the tabla is quiet
The anatomy of entrainment Rhythm perception involves brain regions also associated with motor output and production Cerebellum Basal ganglia SMA Can explain simple tapping Not more complex aspects of musicality Still terra incognita
Animal music cognition Simple motor entrainment is shared by humans with at least parrots and pinnipeds But (apparently) not with other mammal species, e.g. dogs, cats Maturational feature in humans > 2 years Massive social influence is also an important research area (Kotz, Ravignani & Fitch, 2018)