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Oscillations, Waves, and Interactions - GWDG

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38 A. Kohlrausch <strong>and</strong> S. van de Par<br />

listening booth, increased strongly throughout the 1980’s. This increased interest<br />

was reflected even in a rebuilding of the central space in the “Halle” of the DPI, in<br />

front of the “Reflexionsarmer Raum”, where the control panels for the loudspeaker<br />

dome were dismantled <strong>and</strong> spaces for two listening booths were created. In parallel<br />

with the acoustic spaces, also the computer infrastructure for controlling listening<br />

experiments <strong>and</strong> generating signals with more complexity than contained in Gaussian<br />

noise or sinusoids grew steadily in this period. In our view, this experimental<br />

infrastructure together with a growing group of young scientists were essential for<br />

the increasing level of sophistication of hearing research at the DPI. In the following,<br />

we want to describe <strong>and</strong> analyze one of the factors, namely the creativity in using<br />

signals with specific spectral <strong>and</strong> temporal properties in listening experiments <strong>and</strong><br />

model simulations. This creativity started at the DPI, but was spread to other places<br />

like Eindhoven <strong>and</strong> Oldenburg, <strong>and</strong> more recently to Lyngby/Kopenhagen, <strong>and</strong> has<br />

influenced many research paradigms in hearing research groups all over the world.<br />

2 Harmonic complex tone stimuli<br />

The first class of signals we will discuss are signals with a periodic waveform. Depending<br />

on the way of construction of those signals, they are either considered in<br />

the context of their temporal properties (e. g., when a regular series of clicks is generated<br />

<strong>and</strong> the perceptual influence of a slight temporal deviation from regularity is<br />

considered, see, e. g., Ref. [5]) or in the context of their spectral properties (consider,<br />

e. g., the role of the vocal tract filter on the resulting vowel quality). Of course,<br />

from a mathematical point of view, time-domain <strong>and</strong> spectral descriptions are fully<br />

equivalent, if indeed not only the power spectrum, but the full complex spectrum,<br />

including the phase, is considered. Historically, however, temporal <strong>and</strong> spectral views<br />

were quite distinct, mainly under the influence of signal analysis systems that allowed<br />

to represent the power spectrum, but not the phase spectrum. Also the paradigm of<br />

critical b<strong>and</strong>s <strong>and</strong> auditory filters, which for a long time were only defined in terms<br />

of their overall b<strong>and</strong>width <strong>and</strong> their amplitude characteristics (see, e. g., Ref. [6]),<br />

made it difficult to bring the temporal <strong>and</strong> spectral views closer together. Again,<br />

the increasing use of computer programs to generate acoustic stimuli <strong>and</strong> to perform<br />

time-domain modeling of perceptual processes emphasized the role of the phase<br />

spectrum on the perceptual quality of periodic signals [7]. In the following, we will<br />

focus on the description of one specific type of complex tones, those with so-called<br />

Schroeder phases.<br />

2.1 Schroeder-phase harmonic complex tones<br />

2.1.1 Definition<br />

The term Schroeder phase refers to a short paper by Schroeder from 1970 [8]. In<br />

this paper, he addressed the problem how the peak-to-peak amplitude of a periodic<br />

waveform with a given power spectrum can be minimized. He related this problem<br />

to the observation that frequency-modulated stimuli have a low peak factor. The<br />

proposed solution lies in a phase choice which gives the signal an FM-like property.

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