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Bradford J. May

dblp:72/4380 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Audio and music processing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Audio and music processing › auditory processing
auditory modeling
0.012002
A Neural Edge-Detection Model for Enhanced Auditory Sensitivity in Modulated Noise · NIPS 2002
Audio and music processing
computational auditory scene analysis
0.012002
A Neural Edge-Detection Model for Enhanced Auditory Sensitivity in Modulated Noise · NIPS 2002
YearPublicationVenuePosition
2003 Physiological and psychophysical assessments of the dynamic range of vowel representations in the auditory periphery
Bradford J. May
Speech Commun.1
2002 A Neural Edge-Detection Model for Enhanced Auditory Sensitivity in Modulated Noise
abstract
Psychophysical data suggest that temporal modulations of stimulus amplitude envelopes play a prominent role in the perceptual segregation of concurrent sounds. In particular, the detection of an unmodulated signal can be significantly improved by adding amplitude modulation to the spectral envelope of a competing masking noise. This perceptual phenomenon is known as “Comodulation Masking Release” (CMR). Despite the obvious influence of temporal structure on the perception of complex auditory scenes, the physiological mechanisms that contribute to CMR and auditory streaming are not well known. A recent physiological study by Nelken and colleagues has demonstrated an enhanced cortical representation of auditory signals in modulated noise. Our study evaluates these CMR-like response patterns from the perspective of a hypothetical auditory edge-detection neuron. It is shown that this simple neural model for the detection of amplitude transients can reproduce not only the physiological data of Nelken et al., but also, in light of previous results, a variety of physiological and psychoacoustical phenomena that are related to the perceptual segregation of concurrent sounds.
Alon Fishbach, Bradford J. May
NIPS2