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Optimizing Stimulation Strategies in Cochlear Implants for Music Listening

Maretic, Petra (2015) FMS820 20152
Mathematical Statistics
Abstract
Most cochlear implant (CI) strategies are optimized for speech characteristics while
music enjoyment is signicantly below normal hearing performance. In this thesis,
electrical stimulation strategies in CIs are analyzed for music input. A simulation
chain consisting of two parallel paths, simulating normal hearing conditions and
electrical hearing respectively, is utilized. One thesis objective is to congure and
develop the sound processor of the CI chain to analyze dierent compression- and
channel selection strategies to optimally capture the characteristics of music signals.
A new set of knee points (KPs) for the compression function are investigated
together with clustering of frequency bands. The N-of-M electrode selection... (More)
Most cochlear implant (CI) strategies are optimized for speech characteristics while
music enjoyment is signicantly below normal hearing performance. In this thesis,
electrical stimulation strategies in CIs are analyzed for music input. A simulation
chain consisting of two parallel paths, simulating normal hearing conditions and
electrical hearing respectively, is utilized. One thesis objective is to congure and
develop the sound processor of the CI chain to analyze dierent compression- and
channel selection strategies to optimally capture the characteristics of music signals.
A new set of knee points (KPs) for the compression function are investigated
together with clustering of frequency bands. The N-of-M electrode selection strategy
models the eect of a psychoacoustic masking threshold.
In order to evaluate the performance of the CI model, the normal hearing model is
considered a true reference. Similarity among the resulting neurograms of respective
model are measured using the image analysis method Neurogram Similarity
Index Measure (NSIM). The validation and resolution of NSIM is another objective
of the thesis. Results indicate that NSIM is sensitive to no-activity regions in
the neurograms and has diculties capturing small CI changes, i.e. compression
settings. Further verication of the model setup is suggested together with investigating
an alternative optimal electric hearing reference and/or objective similarity
measure. (Less)
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author
Maretic, Petra
supervisor
organization
course
FMS820 20152
year
type
H2 - Master's Degree (Two Years)
subject
keywords
NSIM, N-of-M selection, compression, neurogram, signal processing, normal hearing model, cochlear implant
language
English
id
8146876
date added to LUP
2015-10-30 10:55:02
date last changed
2015-10-30 10:55:02
@misc{8146876,
  abstract     = {Most cochlear implant (CI) strategies are optimized for speech characteristics while
music enjoyment is signicantly below normal hearing performance. In this thesis,
electrical stimulation strategies in CIs are analyzed for music input. A simulation
chain consisting of two parallel paths, simulating normal hearing conditions and
electrical hearing respectively, is utilized. One thesis objective is to congure and
develop the sound processor of the CI chain to analyze dierent compression- and
channel selection strategies to optimally capture the characteristics of music signals.
A new set of knee points (KPs) for the compression function are investigated
together with clustering of frequency bands. The N-of-M electrode selection strategy
models the eect of a psychoacoustic masking threshold.
In order to evaluate the performance of the CI model, the normal hearing model is
considered a true reference. Similarity among the resulting neurograms of respective
model are measured using the image analysis method Neurogram Similarity
Index Measure (NSIM). The validation and resolution of NSIM is another objective
of the thesis. Results indicate that NSIM is sensitive to no-activity regions in
the neurograms and has diculties capturing small CI changes, i.e. compression
settings. Further verication of the model setup is suggested together with investigating
an alternative optimal electric hearing reference and/or objective similarity
measure.},
  author       = {Maretic, Petra},
  keyword      = {NSIM,N-of-M selection,compression,neurogram,signal processing,normal hearing model,cochlear implant},
  language     = {eng},
  note         = {Student Paper},
  title        = {Optimizing Stimulation Strategies in Cochlear Implants for Music Listening},
  year         = {2015},
}