Dynamic spectrogram comparison reveals statistical integration that static profile analysis cannot

Evidence

In this context it has also been demonstrated that subjects can compare spectra, however, the results were not interpretable in a statistical sense, due to several reasons. First, the time scale of presentation is much longer in the present paradigm than typically in profile analysis, where the stimulus is presented for multiple seconds rather than subsecond presentations. Second, in the present context the stimulus is composed of randomly timed occurrences of tones in certain frequency bins (which defines the spectral profile over time), rather than static profiles from constantly presented tones or filtered noise. Third, the comparison between different profiles is performed dynamically, rather than in a two stimulus comparison task. As described above this allowed us to study the dynamic integration of stochastic information, and enables the collection of reaction times as another indicator of the underlying processes. — Dijk, Pim van, Physiology, Psychoacoustics and…, 3344 (#corroborates, via linked claim)

Categorization

• XREF: connects to: Profile analysis compares static spectra while texture change detection needs dynamic statistics — Dijk, Pim van, Physiology, Psychoacoustics and…, 3285; Dynamic statistical texture perception differs from static spectral profile analysis; Dynamic spectral-comparison tasks reveal integration processes static tests miss — Dijk, Pim van, Physiology, Psychoacoustics and…, 3344 (+5 more)

Broader Connections

• Dynamic profile comparison reveals statistical processing that static tasks cannot. #corroborates (0.97)
• Dynamic spectral-comparison tasks reveal integration processes static tests miss #corroborates (0.95) — Dijk, Pim van, Physiology, Psychoacoustics and…, 3344
• Change detection in textures can be probed using only marginal frequency statistics #complicates (0.75)
• Long-term averaging of spectra suppresses random background noise #complicates (0.73) — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 1431