Recent research has indicated that broadband noise waveforms that propagate nonlinearly are perceived differently than those that propagate according to linear theory. This research is the subject of a manuscript recently submitted to The Journal of the Acoustical Society of America - Express Letters. Below are each of waveforms that have been embedded as part of the letter, as well as accompanying explanation.
Input Waveform
The following waveform is a shaped broadband noise spectrum with a 6 dB/octave slope below the peak frequency of approximately 100 Hz and a -6 dB/octave slope above the peak frequency in order to simulate a jet mixing noise spectrum. For the purposes of numerical propagation, the waveform was scaled to have an overall sound pressure level of 150 dB re 20 µPa at 10 m. This and the other waveforms are 16-bit .wav files sampled at 44.1 kHz.
Linearly Propagated Waveform
The input waveform was numerically propagated to a distance of 1 km with spherical spreading and atmospheric absorption and dispersion. In order to hear the input and the propagated waveforms at the same audio playback level, the effect of spherical spreading has been removed from the predicted waveforms by multiplying the propagated waveform by a factor of 100.
Nonlinearly Propagated Waveform
This waveform is the result of propagating the input waveform out to 1 km with a numerical model that solves the generalized Burgers equation for spherical spreading and atmospheric absorption and dispersion. The generalized Burgers equation is a parabolic (one-way) model equation that describes finite-amplitude propagation in the far-field of the source.
Discussion
Despite the fact that informal listening tests have indicated that there is a clear perceptual difference between the nonlinearly and linearly propagated waveforms, standard single-number metrics (such as A-weighted sound pressure level, Mark-VII perceived loudness, or Zwicker loudness) appear to fail in revealing that difference. The question of the perceptual impact of nonlinearly propagated noise is the subject of ongoing research.
For more information regarding this research, contact Kent Gee (kentgee@byu.edu)