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From sound to hearing Nisheeth 26th February 2019
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Sound localization
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Localization Accuracy vs. Frequency
Signature of a dual-mechanism process?
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Localization Accuracy vs
Localization Accuracy vs. Frequency: Low Freq – Interaural Time Difference High Freq – Interaural Intensity Difference ΔI ΔT
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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
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Characteristic parameter: head size
Heads are 0.3 meters around Sound frequencies higher than ~3000 Hz wrap around the head
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IID = f(Location, Frequency)
Straight Ahead Straight Behind Right Ear (Perpendicular)
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ITD versus Location ΔT Straight Ahead Straight Behind Right Ear
(Perpendicular)
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Delay Line Theory (How to Build a Cell tuned to delta-T Signals)
Delta-T = 200 microsec
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“Active” Localization (Continuous Sound Sources)
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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)
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Building blocks of the world of sound
Auditory cognition
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Auditory cognitive concepts
Speech-related Phonemes, visemes and their relationship Music-related Rhythm perception and motor entrainment
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Phoneme-viseme mapping
Visemes are mouth configurations associated with sound Fundamental to learning to speak And also to hear (McGurk & McDonald, 1976)
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Several possible clusterings
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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
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The musical hierarchy
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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
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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
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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)
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