Tone detection thresholds in interaurally delayed noise of different bandwidths

Dietz, Mathias; Encke, Jörg; Bracklo, Kristin I; Ewert, Stephan D.

doi:10.1051/aacus/2021054

Cited by 3 publications

(1 citation statement)

References 47 publications

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“…Multiple studies have used models making use of the variability of IPDs, ILDs, or a combination of the two, as a detection cue for tone in noise experiments (e.g., Davidson et al, 2009 ; Dietz et al, 2021 ; Encke and Dietz, 2022 ; Eurich et al, 2022 ) or for decorrelation detection (Goupell and Hartmann, 2007 ). Based on the derived PDFs, the following section will thus discuss different measures for the amount of IPD and ILD fluctuation for the special case of N 0 S π .…”

Section: Discussionmentioning

confidence: 99%

Statistics of the instantaneous interaural parameters for dichotic tones in diotic noise (N0Sψ)

Encke

Dietz²

2022

Front. Neurosci.

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Stimuli consisting of an interaurally phase-shifted tone in diotic noise—often referred to as N0Sψ—are commonly used to study binaural hearing. As a consequence of mixing diotic noise with a dichotic tone, this type of stimulus contains random fluctuations in both interaural phase- and level-difference. We report the joint probability density functions of the two interaural differences as a function of amplitude and interaural phase of the tone. Furthermore, a second joint probability density function for interaural phase differences and the instantaneous cross-power is derived. The closed-form expression can be used in future studies of binaural unmasking first to obtain the interaural statistics and then study more directly the relation between those statistics and binaural tone detection.

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Section: Discussionmentioning

confidence: 99%

Statistics of the instantaneous interaural parameters for dichotic tones in diotic noise (N0Sψ)

Encke

Dietz²

2022

Front. Neurosci.

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Model-based selection of most informative diagnostic tests and test parameters

Herrmann

Dietz

2021

Acta Acust.

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Given the complexity of most brain and body processes, it is often not possible to relate experimental data from an individual to the underlying subject-specific physiology or pathology. Computer simulations of these processes have been suggested to assist in establishing such a relation. However, the aforementioned complexity and required simulation accuracy impose considerable challenges. To date, the best-case scenario is varying the model parameters to fit previously recorded experimental data. Confidence intervals can be given in the units of the data, but usually not for the model parameters that are the ultimate interest of the diagnosis. We propose a likelihood-based fitting procedure, operating in the model-parameter space and providing confidence intervals for the parameters under diagnosis. The procedure is capable of running parallel to the measurement, and can adaptively set test parameters to the values that are expected to provide the most diagnostic information. Using the pre-defined acceptable confidence interval, the experiment continues until the goal is reached. As an example, the approach was tested with a simplistic three-parameter auditory model and a psychoacoustic binaural tone in a noise-detection experiment. For a given number of trials, the model-based measurement steering provided 80% more information.

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Lower interaural coherence in off-signal bands impairs binaural detection

Eurich

Encke

Ewert

et al. 2022

The Journal of the Acoustical Society of America

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Differences in interaural phase configuration between a target and a masker can lead to substantial binaural unmasking. This effect is decreased for masking noises with an interaural time difference (ITD). Adding a second noise with an opposing ITD in most cases further reduces binaural unmasking. Thus far, modeling of these detection thresholds required both a mechanism for internal ITD compensation and an increased filter bandwidth. An alternative explanation for the reduction is that unmasking is impaired by the lower interaural coherence in off-frequency regions caused by the second masker [Marquardt and McAlpine (2009). J. Acoust. Soc. Am. 126(6), EL177–EL182]. Based on this hypothesis, the current work proposes a quantitative multi-channel model using monaurally derived peripheral filter bandwidths and an across-channel incoherence interference mechanism. This mechanism differs from wider filters since it has no effect when the masker coherence is constant across frequency bands. Combined with a monaural energy discrimination pathway, the model predicts the differences between a single delayed noise and two opposingly delayed noises as well as four other data sets. It helps resolve the inconsistency that simulating some data requires wide filters while others require narrow filters.

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Tone detection thresholds in interaurally delayed noise of different bandwidths

Cited by 3 publications

References 47 publications

Statistics of the instantaneous interaural parameters for dichotic tones in diotic noise (N0Sψ)

Statistics of the instantaneous interaural parameters for dichotic tones in diotic noise (N0Sψ)

Model-based selection of most informative diagnostic tests and test parameters

Lower interaural coherence in off-signal bands impairs binaural detection

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