Simulating listener errors in using genetic algorithms for perceptual optimization

Başkent, Deniz; Edwards, Brent

doi:10.1121/1.2731017

Cited by 3 publications

(5 citation statements)

References 17 publications

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“…To date there have been very few efforts directly addressing this issue, although there are two procedures that have been previously investigated which could theoretically be used to do so. These procedures are the simplex procedure (e.g., Neuman et al, 1987; Preminger et al, 2000; Franck et al, 2004; Amlani and Shafer, 2009) and the genetic algorithm (e.g., Holland, 1975; Wakefield et al, 2005; Baskent and Edwards, 2007; Baskent et al, 2007 ).…”

Section: Introductionmentioning

confidence: 99%

“…Different genes are then compared with one another (via a paired-comparison procedure, for example) and the outcome of that comparison is used to determine whether a given ‘gene’ is used in the next set of comparisons according to the genetic algorithm used. This approach is theoretically very flexible, and thus far has been utilized with acoustic simulations of a cochlear implant (Baskent and Edwards, 2007; Baskent et al, 2007) as well as with cochlear implant patients themselves in both research (Wakefield et al, 2005) and clinical environments (Govaerts et al, 2010; Varenberg et al, 2011; Holmes et al, 2012). …”

Section: Introductionmentioning

confidence: 99%

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Feasibility of Real-Time Selection of Frequency Tables in an Acoustic Simulation of a Cochlear Implant

Fitzgerald

Sagi

Morbiwala³

et al. 2013

Ear &Amp; Hearing

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Objectives Perception of spectrally degraded speech is particularly difficult when the signal is also distorted along the frequency axis. This might be particularly important for post-lingually deafened recipients of cochlear implants (CI), who must adapt to a signal where there may be a mismatch between the frequencies of an input signal and the characteristic frequencies of the neurons stimulated by the CI. However, there is a lack of tools that can be used to identify whether an individual has adapted fully to a mismatch in the frequency-to-place relationship and if so, to find a frequency table that ameliorates any negative effects of an unadapted mismatch. The goal of the proposed investigation is to test the feasibility of whether real-time selection of frequency tables can be used to identify cases in which listeners have not fully adapted to a frequency mismatch. The assumption underlying this approach is that listeners who have not adapted to a frequency mismatch will select a frequency table that minimizes any such mismatches, even at the expense of reducing the information provided by this frequency table. Design 34 normal-hearing adults listened to a noise-vocoded acoustic simulation of a cochlear implant and adjusted the frequency table in real time until they obtained a frequency table that sounded “most intelligible” to them. The use of an acoustic simulation was essential to this study because it allowed us to explicitly control the degree of frequency mismatch present in the simulation. None of the listeners had any previous experience with vocoded speech, in order to test the hypothesis that the real-time selection procedure could be used to identify cases in which a listener has not adapted to a frequency mismatch. After obtaining a self-selected table, we measured CNC word-recognition scores with that self-selected table and two other frequency tables: a “frequency-matched” table that matched the analysis filters with the noisebands of the noise-vocoder simulation, and a “right information” table that is similar to that used in most cochlear implant speech processors, but in this simulation results in a frequency shift equivalent to 6.5 mm of cochlear space. Results Listeners tended to select a table that was very close to, but shifted slightly lower in frequency from the frequency-matched table. The real-time selection process took on average 2–3 minutes for each trial, and the between-trial variability was comparable to that previously observed with closely-related procedures. The word-recognition scores with the self-selected table were clearly higher than with the right-information table and slightly higher than with the frequency-matched table. Conclusions Real-time self-selection of frequency tables may be a viable tool for identifying listeners who have not adapted to a mismatch in the frequency-to-place relationship, and to find a frequency table that is more appropriate for them. Moreover, the small but significant improvements in word-recognition ability observed with the sel...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Feasibility of Real-Time Selection of Frequency Tables in an Acoustic Simulation of a Cochlear Implant

Fitzgerald

Sagi

Morbiwala³

et al. 2013

Ear &Amp; Hearing

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show abstract

“…In accordance with (12), this element had an average error of 1.573%. This is comparable to cochlear implants, where users are able to discriminate sentences with a deviation below 10% [37].…”

Section: Ga Execution Resultsmentioning

confidence: 55%

A Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach

Jiménez-Fernández

Cerezuela-Escudero

Miró-Amarante

et al. 2017

IEEE Trans. Neural Netw. Learning Syst.

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This paper presents a new architecture, design flow, and field-programmable gate array (FPGA) implementation analysis of a neuromorphic binaural auditory sensor, designed completely in the spike domain. Unlike digital cochleae that decompose audio signals using classical digital signal processing techniques, the model presented in this paper processes information directly encoded as spikes using pulse frequency modulation and provides a set of frequency-decomposed audio information using an address-event representation interface. In this case, a systematic approach to design led to a generic process for building, tuning, and implementing audio frequency decomposers with different features, facilitating synthesis with custom features. This allows researchers to implement their own parameterized neuromorphic auditory systems in a low-cost FPGA in order to study the audio processing and learning activity that takes place in the brain. In this paper, we present a 64-channel binaural neuromorphic auditory system implemented in a Virtex-5 FPGA using a commercial development board. The system was excited with a diverse set of audio signals in order to analyze its response and characterize its features. The neuromorphic auditory system response times and frequencies are reported. The experimental results of the proposed system implementation with 64-channel stereo are: a frequency range between 9.6 Hz and 14.6 kHz (adjustable), a maximum output event rate of 2.19 Mevents/s, a power consumption of 29.7 mW, the slices requirements of 11141, and a system clock frequency of 27 MHz.

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“…Computational models personalized to patient-specific factors can predict the success of adaptation to neuroprosthetics, as seen in cochlear implant development [ 258 ]. As users adapt to implants, sensory remapping improves speech perception [ 5 ].…”

Section: Models For Neurorehabilitationmentioning

confidence: 99%

“…Interactive genetic algorithms and evolutionary algorithms can support optimization of acoustic models at a more efficient rate of convergence than natural adaptation [ 259 , 260 ]. Models simulating listener errors can also be used to inform development of such algorithms [ 258 ]. Demonstrating the utility of integrating models into a patient-in-the-loop framework, self-selected acoustic models for cochlear implants tuned to individual parameters via method-of-adjustment outperform high-dimensional models [ 261 ].…”

Section: Models For Neurorehabilitationmentioning

confidence: 99%

NSF DARE—transforming modeling in neurorehabilitation: a patient-in-the-loop framework

Cashaback,

Allen,

Chou

et al. 2024

J NeuroEngineering Rehabil

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In 2023, the National Science Foundation (NSF) and the National Institute of Health (NIH) brought together engineers, scientists, and clinicians by sponsoring a conference on computational modelling in neurorehabiilitation. To facilitate multidisciplinary collaborations and improve patient care, in this perspective piece we identify where and how computational modelling can support neurorehabilitation. To address the where, we developed a patient-in-the-loop framework that uses multiple and/or continual measurements to update diagnostic and treatment model parameters, treatment type, and treatment prescription, with the goal of maximizing clinically-relevant functional outcomes. This patient-in-the-loop framework has several key features: (i) it includes diagnostic and treatment models, (ii) it is clinically-grounded with the International Classification of Functioning, Disability and Health (ICF) and patient involvement, (iii) it uses multiple or continual data measurements over time, and (iv) it is applicable to a range of neurological and neurodevelopmental conditions. To address the how, we identify state-of-the-art and highlight promising avenues of future research across the realms of sensorimotor adaptation, neuroplasticity, musculoskeletal, and sensory & pain computational modelling. We also discuss both the importance of and how to perform model validation, as well as challenges to overcome when implementing computational models within a clinical setting. The patient-in-the-loop approach offers a unifying framework to guide multidisciplinary collaboration between computational and clinical stakeholders in the field of neurorehabilitation.

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Simulating listener errors in using genetic algorithms for perceptual optimization

Cited by 3 publications

References 17 publications

Feasibility of Real-Time Selection of Frequency Tables in an Acoustic Simulation of a Cochlear Implant

Feasibility of Real-Time Selection of Frequency Tables in an Acoustic Simulation of a Cochlear Implant

A Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach

NSF DARE—transforming modeling in neurorehabilitation: a patient-in-the-loop framework

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