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A frequency-selective feedback model of auditory efferent suppression and its implications for the recognition of speech in noise
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10.1121/1.4742745
/content/asa/journal/jasa/132/3/10.1121/1.4742745
http://aip.metastore.ingenta.com/content/asa/journal/jasa/132/3/10.1121/1.4742745
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Figures

Image of FIG. 1.
FIG. 1.

(Color online) Schematic diagram of the DRNL filterbank and subsequent neural transduction, including the novel feedback mechanism introduced in the current study. The suppressive role of the MOC is modeled by inserting an attenuator at the input to the nonlinear path of the DRNL model, and the amount of attenuation is modulated by a control signal (represented by the dashed line) derived from the recent history of the AN response. The stacked panels highlight the fact that this process occurs independently within each frequency channel.

Image of FIG. 2.
FIG. 2.

(Color online) Efferent activity plotted against stimulus level for two efferent fibers with different best frequencies ( Liberman, 1988 ) (open symbols). Model output (filled symbols) is superimposed upon experimental data. The model output is in units of decibel attenuation, plotted as a function of pure tone stimulus level. The numbers on the left-hand axes show the modeled attenuation values. In contrast, the experimental data show the firing rate measured in descending MOC fibers (right-hand axes). The model data were generated using a value of F = 7.

Image of FIG. 3.
FIG. 3.

(Color online) Data showing ASR performance (% correct) as a function of SNR, where the parameter is the type of efferent suppression used in the auditory front end. The noise used for the data shown in the top panel was babble, whereas the noise used for the data shown in the bottom panel was pink. Human data from Robertson et al. (2010) for the same task (monaural presentation of spoken digits in a background of 16-talker babble) are shown as open circles to highlight the current human–machine performance gap.

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/content/asa/journal/jasa/132/3/10.1121/1.4742745
2012-09-12
2014-04-21
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: A frequency-selective feedback model of auditory efferent suppression and its implications for the recognition of speech in noise
http://aip.metastore.ingenta.com/content/asa/journal/jasa/132/3/10.1121/1.4742745
10.1121/1.4742745
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