Download e-book for kindle: Auditory signal processing : physiology, psychoacoustics, by Daniel Pressnitzer; et al

By Daniel Pressnitzer; et al

ISBN-10: 0387219153

ISBN-13: 9780387219158

ISBN-10: 0387270450

ISBN-13: 9780387270456

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5, 1, and 4 kHz. 4 Procedure The experiment consisted of two parts. In the first part, absolute thresholds were carefully measured for each listener using a two-interval, two-alternative forced choice (2I, 2AFC) paradigm and a three-down one-up adaptive method. (For further information regarding the procedure, see Florentine, Buus, and Poulsen 1996). In the second part, RTs were obtained by asking the listeners to press a telegraph key as soon as they heard a tone. The RT was defined as the time elapsed 32 Mary Florentine, Søren Buus, and Mindy Rosenberg between the onset of the stimulus and the listener’s response.

1) may still be modeled by setting the cut-off frequency of the lowpass filter in the linear path (LPlin) lower than CFlin. A Animal (L113) Model B um/s 6000 0 -6000 -12000 -18000 -24000 -30000 -36000 -42000 Stapes 750 -48000 -750 -54000 0 Tim e (ms) 1 2 3 4 5 Time (m s) Fig. 3. , 1998). (B) Response of the improved DRNL filter to an empirical stapes IR (bottom waveform). 7 Conclusions The improved DRNL filter reproduces the characteristic high-frequency plateaus. The fits to the data improve when its parameters are optimized bearing in mind the amplitude and phase aspects of the response to tones simultaneously.

As shown by Recio et al. (1998), the BM responses to clicks in Fig. 3A are frequency modulated (Fig. 4A). Recio et al. wrote (their p. 1976) that the “…instantaneous frequency was influenced by level but its time trajectory retained its main features even at the highest level…” and post-mortem. The improved DRNL filter reproduces this behavior to a reasonable approximation (Fig. 4B), but only when a realistic stapes response is used as input. When the ME stage is removed (“no-ME” in Fig. 4), or when it is modeled by a simple Butterworth bandpass filter (not shown), the trajectory of the instantaneous frequency of the model differs considerably from the data.

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Auditory signal processing : physiology, psychoacoustics, and models by Daniel Pressnitzer; et al

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