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Robert V. Shannon

dblp:146/9989 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › neural prosthesis
auditory prostheses
0.112008
Cochlear and Brainstem Auditory Prostheses "Neural Interface for Hearing Restoration: Cochlear and Brain Stem Implants" · Proc. IEEE 2008
Medical and health informatics › neural prosthesis › auditory prostheses
cochlear implant
0.112008
Cochlear and Brainstem Auditory Prostheses "Neural Interface for Hearing Restoration: Cochlear and Brain Stem Implants" · Proc. IEEE 2008
Medical and health informatics
neural interface
0.012008
Cochlear and Brainstem Auditory Prostheses "Neural Interface for Hearing Restoration: Cochlear and Brain Stem Implants" · Proc. IEEE 2008
YearPublicationVenuePosition
2008 Cochlear and Brainstem Auditory Prostheses "Neural Interface for Hearing Restoration: Cochlear and Brain Stem Implants"
abstract
This paper discusses the development and implementation of three novel implantable technologies that have advanced the communication abilities of hearing-impaired individuals who cannot benefit from conventional hearing aids. This paper will discuss clinical indications and outcomes and include current technological limitations and future research efforts.
Jose N. Fayad, Steven R. Otto, Robert V. Shannon, Derald E. Brackmann
Proc. IEEE3
1999 Recognition of spectrally degraded speech in noise with nonlinear amplitude mapping
abstract
The present study measured phoneme recognition as a function of the signal-to-noise level under conditions of spectral smearing and nonlinear amplitude mapping. Speech sounds were divided into 16 analysis bands. The envelope was extracted from each band by half-wave rectification and low-pass filtering and was then distorted by a power-law transformation whose exponents varied from a strongly compressive (p=0.3) to a strongly expanded value (p=3.0). This distorted envelope was used to modulate a noise which was spectrally limited by the same analysis filters. Results showed that phoneme recognition scores in a quiet condition were reduced only slightly with either expanded or compressed amplitude mapping. As the level of background noise was increased, performance deteriorated more rapidly for both compressed and linear mapping than for the expanded mapping. These results indicate that, although an expansive amplitude mapping may slightly reduce performance in quiet conditions, it may be beneficial in noisy listening conditions.
Qian-Jie Fu, Robert V. Shannon
ICASSP2